{"nodes":[{"id":0,"name":"#BlackTechFutures Research Institute","primary_segment":"Advocacy","segments":["Advocacy","Research"],"focus":["Federal","State","City"],"description":"Builds national network of HBCUs, city-based researchers, and community institutions focused on local Black tech ecosystems and tech talent. Received PIT Fund support to bolster Black civic tech workforce pipeline.","funding_model":"Philanthropy","funding_detail":"Public Interest Tech Fund ($250K grant) + philanthropic","named_funders":["Public Interest Tech Fund"],"website":"blacktechfutures.org","problem_statements":["Talent Pipeline","Expert Contribution","Civic Engagement"],"problem_areas":["Talent & Hiring","Participatory Democracy"],"degree":10},{"id":1,"name":"Abundance New York","primary_segment":"Advocacy","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"NYC-focused abundance advocacy organization pushing for housing supply expansion, zoning reform, and permitting streamlining at the city and state level.","funding_model":"Philanthropy","funding_detail":"Individual donors + paid subscribers; affiliated 501(c)(4) and 501(c)(3) entities","named_funders":[],"website":"abundanceny.org","problem_statements":["Housing & Land Use","Permitting & Licensing","Regulatory & Administrative Burden"],"problem_areas":["Domains","Procurement & Operations"],"degree":8},{"id":2,"name":"Alliance of Civic Technologists (ACT)","primary_segment":"Advocacy","segments":["Advocacy","Community","Ecosystems"],"focus":["Federal","State","City"],"description":"National umbrella connecting 18+ volunteer civic tech groups. Organizes CityCamp unconferences and Civic Spark convenings. 500+ Discord members.","funding_model":"Volunteer","funding_detail":"Member org contributions; small grants","named_funders":[],"website":"civictechnologists.org","problem_statements":["Civic Engagement","Expert Contribution"],"problem_areas":["Participatory Democracy","Talent & Hiring"],"degree":9},{"id":3,"name":"Civic Tech Field Guide","primary_segment":"Advocacy","segments":["Advocacy","Community"],"focus":["Federal","State","City"],"description":"World's largest collection of civic tech projects and organizations. Field Guide Friday newsletter (4,300+ subscribers). Open resource cataloguing the global civic tech ecosystem. Key discovery tool for technologists entering the field.","funding_model":"Volunteer","funding_detail":"Primarily volunteer-run; small grants","named_funders":[],"website":"civictech.guide","problem_statements":["Civic Engagement","Expert Contribution"],"problem_areas":["Participatory Democracy","Talent & Hiring"],"degree":8},{"id":4,"name":"Demand Progress","primary_segment":"Advocacy","segments":["Advocacy","Research"],"focus":["Federal"],"description":"Progressive advocacy org with dedicated congressional modernization portfolio. Advocates for transparency, open data, and strengthening legislative branch capacity. Co-authored bipartisan House rules reform proposals with Lincoln Network. Tracks legislative data and capacity issues.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants + small-dollar donors","named_funders":[],"website":"demandprogress.org","problem_statements":["Reaction Time","Transparency & Accountability","Democracy Infrastructure"],"problem_areas":["Procurement & Operations","Participatory Democracy"],"degree":11},{"id":5,"name":"Electronic Frontier Foundation (EFF)","primary_segment":"Advocacy","segments":["Advocacy","Research"],"focus":["Federal","State","City"],"description":"Leading nonprofit defending civil liberties in the digital world through litigation, policy advocacy, and technology development. Shapes government surveillance law, AI policy, and digital rights frameworks.","funding_model":"Membership, Philanthropy","funding_detail":"Individual members; Ford Foundation, MacArthur Foundation, Open Society Foundations","named_funders":["Ford Foundation","MacArthur Foundation"],"website":"eff.org","problem_statements":["Data Security","Transparency & Accountability","AI in Government","Democracy Infrastructure"],"problem_areas":["Technology & Data","Participatory Democracy","Domains"],"degree":11},{"id":6,"name":"Federation of American Scientists (FAS)","primary_segment":"Advocacy","segments":["Advocacy","Fellowships","Research"],"focus":["Federal","State","City"],"description":"Nonpartisan think tank running Day One Project for policy entrepreneurship. Innovation Ecosystem Job Board for displaced federal technologists (2025). Senior Fellows program.","funding_model":"Philanthropy","funding_detail":"Schmidt Futures, Open Philanthropy, broad base","named_funders":["Open Philanthropy","Schmidt Futures"],"website":"fas.org","problem_statements":["Expert Contribution","Reaction Time","Talent Pipeline","Hiring Architecture"],"problem_areas":["Talent & Hiring","Procurement & Operations"],"degree":10},{"id":7,"name":"Inclusive Abundance","primary_segment":"Advocacy","segments":["Advocacy","Ecosystems"],"focus":["Federal","State"],"description":"Coalition of center-left and center-right organizations advancing the abundance agenda: housing supply, energy permitting, regulatory reform, and state capacity. Members include FAS, Niskanen Center, R Street, and New America.","funding_model":"Philanthropy","funding_detail":"Network of philanthropic funders","named_funders":[],"website":"inclusiveabundance.org","problem_statements":["Housing & Land Use","Permitting & Licensing","Regulatory & Administrative Burden"],"problem_areas":["Domains","Procurement & Operations"],"degree":8},{"id":8,"name":"Institute for Responsive Government (IRG)","primary_segment":"Advocacy","segments":["Advocacy","Research"],"focus":["State","City"],"description":"Designs practical policy solutions for government service delivery and election administration. Primary focus: automatic voter registration, data sharing between agencies, UX reform for government services (DMVs, tax departments, benefits offices), and online government interfaces. Fiscally sponsored by New Venture Fund (501(c)(3)); separate 501(c)(4) action arm (Responsive Gov Action) conducts issue advocacy. Research outputs targeted directly at state legislators and local administrators. Operates at intersection of service design and democratic infrastructure.","funding_model":"Philanthropy","funding_detail":"New Venture Fund fiscal sponsorship; philanthropic grants","named_funders":["New Venture Fund"],"website":"responsivegov.org","problem_statements":["Service Design","Benefits Access","Democracy Infrastructure","Civic Engagement","Regulatory & Administrative Burden"],"problem_areas":["Service Delivery","Participatory Democracy","Procurement & Operations"],"degree":9},{"id":9,"name":"National Conference on Citizenship (NCoC) / Project Redesign","primary_segment":"Advocacy","segments":["Advocacy","Research"],"focus":["Federal","State","City"],"description":"Civic health research. Project Redesign focuses on redesigning public services. Co-created TELI program.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"ncoc.org","problem_statements":["Civic Engagement","Democracy Infrastructure","Service Design","Iterative Learning"],"problem_areas":["Participatory Democracy","Service Delivery","Test & Learn"],"degree":13},{"id":10,"name":"New Practice Lab","primary_segment":"Advocacy","segments":["Advocacy","Digital Services & Consulting"],"focus":["Federal","State"],"description":"New America initiative working to improve government program design for families through policy advocacy and implementation sprints with government agencies.","funding_model":"Philanthropy","funding_detail":"New America foundation funding","named_funders":[],"website":"nplimpact.org","problem_statements":["Benefits Access","Service Design","Iterative Learning","Outcomes Measurement"],"problem_areas":["Service Delivery","Test & Learn"],"degree":15},{"id":11,"name":"Open New York","primary_segment":"Advocacy","segments":["Advocacy"],"focus":["City"],"description":"NYC-based advocacy organization pushing for housing supply expansion through zoning reform and land use deregulation. Primary policy focus is increasing housing production in New York City.","funding_model":"Philanthropy","funding_detail":"Open Philanthropy","named_funders":["Open Philanthropy"],"website":"opennewyork.org","problem_statements":["Housing & Land Use","Permitting & Licensing"],"problem_areas":["Domains","Procurement & Operations"],"degree":9},{"id":12,"name":"Open The Government","primary_segment":"Advocacy","segments":["Advocacy"],"focus":["Federal"],"description":"Coalition advocating for government transparency, open data, and accountability. Works on FOIA reform, open data policy, and government information access. Part of broader good-government advocacy ecosystem.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"openthegovernment.org","problem_statements":["Transparency & Accountability","Data Integration","Democracy Infrastructure","Reaction Time"],"problem_areas":["Participatory Democracy","Technology & Data","Procurement & Operations"],"degree":9},{"id":13,"name":"Partnership for Public Service","primary_segment":"Advocacy","segments":["Advocacy","Capacity Building","Research"],"focus":["Federal","State","City"],"description":"Nonpartisan advocacy and capacity building organization dedicated to better government and stronger democracy. Engages the public about the value of government and public servants; develops and advocates for reform as part of its Government for a New Era initiative; and offers training and development to public servants at the federal, state, and local levels.","funding_model":"Philanthropy","funding_detail":"Broad philanthropic base; earned revenue from training","named_funders":[],"website":"ourpublicservice.org","problem_statements":["AI in Government","Civic Engagement","Feedback Loops","Hiring Architecture","Hiring Process","Legacy Systems","Operational Excellence","Regulatory & Administrative Burden","Scaling What Works","Shared Platforms","Talent Pipeline","Transparency & Accountability","Workforce Development","Service Design"],"problem_areas":["Talent & Hiring","Service Delivery","Test & Learn","Technology & Data","Procurement & Operations","Participatory Democracy","Domains"],"degree":10},{"id":14,"name":"POPVOX Foundation","primary_segment":"Advocacy","segments":["Advocacy","Community","Research"],"focus":["Federal"],"description":"Congressional modernization nonprofit focused on AI-ready legislatures and legislative branch capacity. Key 2025 wins: secured 4M House Modernization Initiatives Account; advanced CaseCompass unified casework data schema; launched Digital Parliaments Project globally. Runs Future-Proofing Congress newsletter, Casework Navigator, and Keeping Pace AI briefing for Congressional staff.","funding_model":"Philanthropy","funding_detail":"Hewlett Foundation, Democracy Fund, philanthropic grants","named_funders":["Democracy Fund","Hewlett Foundation"],"website":"popvox.org","problem_statements":["Procurement Reform","Operational Excellence","Democracy Infrastructure","AI in Government","Workforce Development","Evidence Use"],"problem_areas":["Procurement & Operations","Participatory Democracy","Test & Learn","Domains","Talent & Hiring"],"degree":8},{"id":15,"name":"Public Interest Technology University Network (PIT-UN)","primary_segment":"Advocacy","segments":["Advocacy","Capacity Building","Research"],"focus":["Federal","State","City"],"description":"Network of 63 universities co-convened by New America, Ford Foundation, and Hewlett Foundation. $16M+ deployed to 154 projects building the PIT field through curriculum, faculty research, and experiential learning.","funding_model":"Philanthropy","funding_detail":"Ford Foundation, Hewlett Foundation, Mastercard, McGovern, Raikes, Schmidt Futures, Siegel","named_funders":["Ford Foundation","Hewlett Foundation","Schmidt Futures"],"website":"newamerica.org/pit/university-network","problem_statements":["Talent Pipeline","Evidence Use","Scaling What Works"],"problem_areas":["Talent & Hiring","Test & Learn"],"degree":11},{"id":16,"name":"Recoding America Fund","primary_segment":"Advocacy","segments":["Advocacy","Digital Services & Consulting","Philanthropy"],"focus":["Federal","State"],"description":"$120M 6-year pooled philanthropic initiative grantmaking for government workforce, digital infrastructure, and procedural reform. Chaired by Jennifer Pahlka.","funding_model":"Philanthropy","funding_detail":"Pooled fund; inaugural donors not yet fully public","named_funders":[],"website":"recodingamerica.fund","problem_statements":["Procurement Reform","Workforce Development","Service Design","Evidence Use"],"problem_areas":["Procurement & Operations","Service Delivery","Talent & Hiring","Test & Learn"],"degree":8},{"id":17,"name":"Results for America","primary_segment":"Advocacy","segments":["Advocacy","Research"],"focus":["State","City"],"description":"Helps government use evidence and data. Runs What Works Cities and States certifications promoting performance management and evidence-based policymaking.","funding_model":"Philanthropy","funding_detail":"Bloomberg Philanthropies, Arnold Ventures","named_funders":["Arnold Ventures","Bloomberg Philanthropies"],"website":"results4america.org","problem_statements":["Evidence Use","Outcomes Measurement","Scaling What Works","Feedback Loops"],"problem_areas":["Test & Learn"],"degree":13},{"id":18,"name":"Tech Talent Project","primary_segment":"Advocacy","segments":["Advocacy","Capacity Building","Fellowships"],"focus":["Federal","State","City"],"description":"Connects senior technologists with government roles and helps administrations build tech leadership capacity from day one. Provides playbooks for state administrations entering first 100 days. Co-runs TELI executive training with Aspen Policy Academy. Has matched technical leaders with state and local government since 2017.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"techtalentproject.org","problem_statements":["Talent Pipeline","Hiring Architecture","Hiring Process","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":11},{"id":19,"name":"Work for America","primary_segment":"Advocacy","segments":["Advocacy"],"focus":["Federal","State","City"],"description":"Advocacy organization working to modernize government hiring and talent pipelines, combining direct workforce programs with HR policy advocacy.","funding_model":"Philanthropy","funding_detail":"Foundation grants","named_funders":[],"website":"workforamerica.org","problem_statements":["Talent Pipeline","Hiring Process","Hiring Architecture"],"problem_areas":["Talent & Hiring"],"degree":10},{"id":20,"name":"Apolitical","primary_segment":"Capacity Building","segments":["Capacity Building","Community"],"focus":["Federal","State","City"],"description":"Global social learning network for public servants. 500,000+ members across 170 countries including 50,000+ US civil servants. Offers online courses co-developed with Oxford, LSE, and Georgetown on digital government, AI, climate, and 21st century governance. Launched Government AI Campus in 2023 with 10,000+ enrolled. Co-designed and funded by governments including the UK Cabinet Service. Approved supplier on multiple government learning procurement frameworks.","funding_model":"Government Contracts, Membership","funding_detail":"Government contracts (UK, US, and other governments); subscription fees","named_funders":[],"website":"apolitical.co","problem_statements":["Talent Pipeline","AI in Government","Operational Excellence","Scaling What Works","Workforce Development"],"problem_areas":["Talent & Hiring","Domains","Procurement & Operations","Test & Learn"],"degree":8},{"id":21,"name":"Aspen Policy Academy (fmr. Aspen Tech Policy Hub)","primary_segment":"Capacity Building","segments":["Advocacy","Capacity Building","Research"],"focus":["Federal","State","City"],"description":"S&T Policy Training (3-week intensive), TELI exec program (5-week, 150+ alumni), Primer, and short courses training STEM professionals on policy impact.","funding_model":"Philanthropy","funding_detail":"Craig Newmark Philanthropies, Ford Foundation, Siegel Family Endowment","named_funders":["Ford Foundation"],"website":"aspenpolicyacademy.org","problem_statements":["Expert Contribution","Reaction Time","Talent Pipeline"],"problem_areas":["Talent & Hiring","Procurement & Operations"],"degree":15},{"id":22,"name":"Center for Civic Futures (CCF) / AI Readiness Project","primary_segment":"Capacity Building","segments":["Capacity Building","Community","Ecosystems","Research"],"focus":["State"],"description":"Nonpartisan nonprofit running the AI Readiness Project. Convenes State Chief AI Officer Community of Practice (30+ states, expanding to 50). Government AI Knowledge Hub launching 2026. Structured pilots for responsible AI in public service.","funding_model":"Philanthropy","funding_detail":"Rockefeller Foundation ($500K+ for AI Readiness); philanthropic grants","named_funders":["Rockefeller Foundation"],"website":"centerforcivicfutures.org","problem_statements":["AI in Government","Scaling What Works","Procurement Reform"],"problem_areas":["Domains","Test & Learn","Procurement & Operations"],"degree":11},{"id":23,"name":"Civic Tech Institute (Equitech Futures)","primary_segment":"Capacity Building","segments":["Capacity Building"],"focus":["Federal","State","City"],"description":"10-week fully funded cohort program training early-career professionals in data science, AI, and civic innovation. Certificate + 1-year alumni mentorship.","funding_model":"Philanthropy","funding_detail":"Equitech Futures philanthropic partners","named_funders":[],"website":"equitechfutures.com","problem_statements":["Talent Pipeline","AI in Government","Iterative Learning"],"problem_areas":["Talent & Hiring","Domains","Test & Learn"],"degree":8},{"id":24,"name":"Decoded Futures (Tech:NYC Foundation)","primary_segment":"Capacity Building","segments":["Capacity Building"],"focus":["City"],"description":"AI capacity-building for NYC nonprofits delivering public services. Cohort-based AI training, industry tech mentors, prototyping support, and grants ($5K-$100K/org).","funding_model":"Philanthropy","funding_detail":"Robin Hood, Google.org, Salesforce, OpenAI, Altman Foundation, AWS","named_funders":[],"website":"decodedfutures.nyc","problem_statements":["AI in Government","Talent Pipeline","Scaling What Works"],"problem_areas":["Domains","Talent & Hiring","Test & Learn"],"degree":8},{"id":25,"name":"InnovateUS","primary_segment":"Capacity Building","segments":["Capacity Building"],"focus":["State","City"],"description":"Free digital and AI skills training for public servants at all levels. 200,000+ learners trained across 50 states and 80 countries. 100+ agency partners including NY, MA, PA, GA, OR, and DC. Google.org awarded 5M grant (2025) to expand to 100,000+ additional state and local government workers. Founded by Beth Simone Noveck at Northeastern University Burnes Center.","funding_model":"Philanthropy","funding_detail":"Google.org (5M grant 2025); Hewlett Foundation; philanthropic grants","named_funders":["Hewlett Foundation"],"website":"innovate-us.org","problem_statements":["Talent Pipeline","AI in Government","Operational Excellence","Scaling What Works","Workforce Development"],"problem_areas":["Talent & Hiring","Domains","Procurement & Operations","Test & Learn"],"degree":12},{"id":26,"name":"National Academy of Public Administration (NAPA)","primary_segment":"Capacity Building","segments":["Capacity Building","Research"],"focus":["Federal","State","City"],"description":"Congressionally chartered. Convenes expert panels studying federal agency management, organizational design, and institutional effectiveness.","funding_model":"Government","funding_detail":"Congressional appropriations + study fees","named_funders":[],"website":"napawash.org","problem_statements":["Operational Excellence","Hiring Architecture","Outcomes Measurement","Democracy Infrastructure","Evidence Use"],"problem_areas":["Procurement & Operations","Talent & Hiring","Test & Learn","Participatory Democracy"],"degree":8},{"id":27,"name":"Special Competitive Studies Project (SCSP): AI Expo / Talent Initiatives","primary_segment":"Capacity Building","segments":["Capacity Building","Research"],"focus":["Federal"],"description":"Eric Schmidt-founded initiative (2022) focused on maintaining U.S. technological competitiveness in AI and advanced technology vis-a-vis strategic competitors. Produces policy recommendations, convenes government and industry leaders, and hosts the annual AI Expo for National Competitiveness in DC. Not a fellowship program - included for its role in shaping AI talent policy and government-technology workforce discussions.","funding_model":"Philanthropy","funding_detail":"Eric Schmidt-affiliated funding","named_funders":[],"website":"scsp.ai","problem_statements":["AI in Government","Reaction Time","Expert Contribution"],"problem_areas":["Domains","Procurement & Operations","Talent & Hiring"],"degree":9},{"id":28,"name":"BetaNYC","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"NYC's civic tech, open data, and open government community (est. 2013). Co-hosts NYC Open Data Week and NYC School of Data (600+ attendees). Builds tools like Boundaries Map. Partners with NYC Office of Technology & Innovation. ACT founding member.","funding_model":"Volunteer","funding_detail":"Small grants; NYC OTI partnership; volunteer-driven","named_funders":[],"website":"beta.nyc","problem_statements":["Transparency & Accountability","Data Integration","Civic Engagement"],"problem_areas":["Participatory Democracy","Technology & Data"],"degree":13},{"id":29,"name":"Chi Hack Night","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Chicago's weekly civic tech meetup (est. 2012). In-person and online hack nights featuring speakers from government, nonprofits, and tech. Spawned projects like mRelief (food stamps access). Elected board; ACT founding member.","funding_model":"Volunteer","funding_detail":"Small grants; sponsor support; volunteer-driven","named_funders":[],"website":"chihacknight.org","problem_statements":["Civic Engagement","Benefits Access"],"problem_areas":["Participatory Democracy","Service Delivery"],"degree":10},{"id":30,"name":"Civic Tech Atlanta","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Atlanta civic tech group hosting monthly hack nights. Provides data support to community organizations (e.g., Sanctuary Food Pantry). Active project lifecycle pipeline. ACT founding member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"civictechatlanta.org","problem_statements":["Civic Engagement"],"problem_areas":["Participatory Democracy"],"degree":11},{"id":31,"name":"Civic Tech DC","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Washington DC volunteer civic hacking group. Hosted Civic Hack DC 2025 (80 participants) focused on open-source tools for Regulations.gov public comment analysis. ACT member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven; venue sponsors (Taoti Creative)","named_funders":[],"website":"civictechdc.org","problem_statements":["Transparency & Accountability","Civic Engagement","Democracy Infrastructure"],"problem_areas":["Participatory Democracy"],"degree":12},{"id":32,"name":"Code for Boston","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Boston-area civic innovation group. Semi-weekly hybrid hack nights at Cambridge Innovation Center. Building MAPLE (Massachusetts Platform for Legislative Engagement) enabling residents to submit legislative testimony. ACT founding member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven; small grants","named_funders":[],"website":"codeforboston.org","problem_statements":["Civic Engagement","Democracy Infrastructure","Transparency & Accountability"],"problem_areas":["Participatory Democracy"],"degree":13},{"id":33,"name":"Code for BTV","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Burlington, VT civic tech group hosting biweekly 'Action Nights' (fmr. Hack Night). ACT founding member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"codeforbtv.org","problem_statements":["Civic Engagement"],"problem_areas":["Participatory Democracy"],"degree":12},{"id":34,"name":"Code for Charlottesville","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Charlottesville, VA civic tech group working with local nonprofits and government agencies on pro bono tech projects. Active GitHub presence through 2025 (Virginia Schools AI policy analysis, native plants DB, Meals on Wheels portal). UVA and PVCC student involvement. ACT member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"codeforcville.org","problem_statements":["Civic Engagement","Transparency & Accountability"],"problem_areas":["Participatory Democracy"],"degree":10},{"id":35,"name":"Code for Dayton","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Dayton civic tech group with monthly meetings. Projects include Florence Nightingale Museum website and demolition permit monitoring for Preservation Dayton. ACT founding member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"codefordayton.org","problem_statements":["Civic Engagement","Transparency & Accountability"],"problem_areas":["Participatory Democracy"],"degree":12},{"id":36,"name":"Code for Philly","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Philadelphia civic tech community. Building Clean & Green Philly (toolkit for reducing gun violence via vacant lot greening) and Phlask (map of free water/food/bathrooms). Benefit Decision Toolkit for eligibility screeners. ACT founding member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"codeforphilly.org","problem_statements":["Benefits Access","Civic Engagement","Democracy Infrastructure","Transparency & Accountability"],"problem_areas":["Service Delivery","Participatory Democracy"],"degree":9},{"id":37,"name":"Code with the Carolinas","primary_segment":"Community","segments":["Community"],"focus":["State"],"description":"Carolinas civic tech community. Active through 2024 on Open Sidewalks (sidewalk accessibility mapping) and Zoning Atlas projects. Completed transition from Code for America Brigade Network in 2023. Fiscally sponsored through Open Collective. ACT member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"opencollective.com/code-with-the-carolinas","problem_statements":["Civic Engagement","Housing & Land Use","Transparency & Accountability"],"problem_areas":["Participatory Democracy","Domains"],"degree":8},{"id":38,"name":"ELGL (Engaging Local Government Leaders)","primary_segment":"Community","segments":["Capacity Building","Community"],"focus":["State","City"],"description":"501(c)(3) connecting innovative local government leaders. 4,800+ members across all 50 states. Runs GovLove Podcast, Top Influencers awards, Analyst Academy, and Public Service Recognition Week. Key community for local gov professionals seeking peers.","funding_model":"Volunteer","funding_detail":"Membership dues + sponsors + event revenue","named_funders":[],"website":"elgl.org","problem_statements":["Talent Pipeline","Operational Excellence","Expert Contribution","Workforce Development"],"problem_areas":["Talent & Hiring","Procurement & Operations"],"degree":8},{"id":39,"name":"Florida Community Innovation (FCI)","primary_segment":"Community","segments":["Community"],"focus":["State"],"description":"Florida civic tech organization. Published organizational handbook (2025). Florida Resource Map project. AI Fellow program. ACT member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven; small grants","named_funders":[],"website":"floridainnovation.org","problem_statements":["Civic Engagement","Expert Contribution"],"problem_areas":["Participatory Democracy","Talent & Hiring"],"degree":11},{"id":40,"name":"GovLoop","primary_segment":"Community","segments":["Capacity Building","Community"],"focus":["Federal","State","City"],"description":"Online community of 300,000+ government professionals. Featured Contributor Program, NextGen Government Training Summit, and educational resources on modernization, AI, and workforce. Knowledge-sharing platform connecting public servants across levels.","funding_model":"Philanthropy","funding_detail":"GovExec Media / Owned by Government Executive Media Group; sponsor-supported content","named_funders":[],"website":"govloop.com","problem_statements":["Talent Pipeline","Operational Excellence","Expert Contribution","Workforce Development"],"problem_areas":["Talent & Hiring","Procurement & Operations"],"degree":9},{"id":41,"name":"Hack for LA","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Los Angeles network of civic-minded technologists building digital products with community partners and local government. Global volunteer base (designers, developers, PMs). Maintains Civic Tech Index.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"hackforla.org","problem_statements":["Civic Engagement","Service Design"],"problem_areas":["Participatory Democracy","Service Delivery"],"degree":8},{"id":42,"name":"Open Austin","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Austin civic tech community hosting design community of practice, hack nights, and mixers. Sold-out 2025 Public Interest Tech Mixer (37 attendees, 40% people of color). ACT founding member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"open-austin.odoo.com","problem_statements":["Civic Engagement","Transparency & Accountability","Expert Contribution"],"problem_areas":["Participatory Democracy","Talent & Hiring"],"degree":19},{"id":43,"name":"Open Sacramento","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Sacramento civic tech group (recently rebranded with new website). Virtual community action nights. ACT member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"opensacramento.org","problem_statements":["Civic Engagement"],"problem_areas":["Participatory Democracy"],"degree":11},{"id":44,"name":"Open Source San Jose","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"San Jose civic tech collective (joined ACT 2025). Monthly hack nights. Building Tally Up app for CA Dept of Education meal distribution tracking. Open-source, community-driven innovation.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"opensourcesanjose.org","problem_statements":["Civic Engagement","Benefits Access"],"problem_areas":["Participatory Democracy","Service Delivery"],"degree":10},{"id":45,"name":"OpenOakland","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"Oakland civic tech group building tools for government transparency and community access. ACT member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven","named_funders":[],"website":"openoakland.org","problem_statements":["Transparency & Accountability","Civic Engagement"],"problem_areas":["Participatory Democracy"],"degree":17},{"id":46,"name":"SF Civic Tech","primary_segment":"Community","segments":["Community"],"focus":["City"],"description":"San Francisco civic tech community (fmr. Code for San Francisco, est. 2013). Weekly virtual hack nights. Building SafeHome earthquake risk dashboard. Independent 501(c)(3) since 2024. ACT founding member.","funding_model":"Volunteer","funding_detail":"Volunteer-driven; independent nonprofit since 2024","named_funders":[],"website":"sfcivictech.org","problem_statements":["Transparency & Accountability","Civic Engagement","Crisis Response"],"problem_areas":["Participatory Democracy","Domains"],"degree":10},{"id":47,"name":"Technologists for the Public Good (TPG)","primary_segment":"Community","segments":["Community"],"focus":["Federal","State","City"],"description":"501(c)(6) professional association (est. 2020) for technologists working across government, nonprofits, academia, philanthropy, and civic tech. 134% membership growth in 2023. Runs networking events, tech and design conferences, mentorship programs, and the Tech to Gov Virtual Forum & Job Fair connecting senior technologists with government agencies. Joint statement with ACT on civic tech field direction (2025). Co-hosted State of GovTech 2025 with CivStart in Arlington. Members include government digital service alumni, current federal and state tech staff, and public interest tech practitioners.","funding_model":"Volunteer","funding_detail":"Membership dues + event revenue + sponsorships","named_funders":[],"website":"publicgood.tech","problem_statements":["Talent Pipeline","Expert Contribution","Hiring Architecture"],"problem_areas":["Talent & Hiring"],"degree":8},{"id":48,"name":"UChicago Civic Analytics Network (Harris School)","primary_segment":"Community","segments":["Community","Ecosystems"],"focus":["Federal","State","City"],"description":"Network of chief data officers and analytics leaders in government. Research on data-driven governance and performance management.","funding_model":"University,Philanthropy","funding_detail":"UChicago + donor support","named_funders":[],"website":"harris.uchicago.edu","problem_statements":["Outcomes Measurement","Data Integration","Evidence Use"],"problem_areas":["Test & Learn","Technology & Data"],"degree":8},{"id":49,"name":"Ad Hoc","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal"],"description":"Federal digital services firm founded in 2014 from the healthcare.gov rescue. Portfolio includes VA.gov (consolidating 500+ sites), Medicare Plan Finder modernization, and Search.gov. Approximately 700 staff. Focuses on building digital-first agency capacity through embedded product teams.","funding_model":"Private","funding_detail":"Federal government contracts","named_funders":["Federal Government"],"website":"adhoc.team","problem_statements":["Service Design","Legacy Systems","Benefits Access","Healthcare Access"],"problem_areas":["Service Delivery","Technology & Data","Domains"],"degree":10},{"id":50,"name":"Agile Six","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal"],"description":"Public benefit corporation delivering human-centered digital services to federal agencies. Primary focus on VA digital services and benefits delivery, CDC pandemic readiness, and CMS Medicare modernization. Fully remote, values-driven culture.","funding_model":"Private","funding_detail":"Federal government contracts","named_funders":["Federal Government"],"website":"agile6.com","problem_statements":["Service Design","Legacy Systems","Healthcare Access","Benefits Access"],"problem_areas":["Service Delivery","Technology & Data","Domains"],"degree":15},{"id":51,"name":"Behavioural Insights Team (BIT)","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting","Research"],"focus":["Federal","State","City"],"description":"Global applied behavioral science consultancy founded inside the UK government in 2010, now owned by Nesta (UK innovation charity). US offices in New York and Washington DC. Works with federal, state, and local government agencies to design, test, and iterate on programs using randomized controlled trials and behavioral design. Has run 95+ RCTs with US city governments through the Bloomberg Philanthropies What Works Cities initiative. Partner on UI modernization with NASWA (Nevada DETR 2023). Builds iterative learning and evidence-use capacity inside government agencies.","funding_model":"Earned Revenue","funding_detail":"Government contracts and philanthropy (Bloomberg Philanthropies, What Works Cities); owned by Nesta charity","named_funders":["Bloomberg Philanthropies"],"website":"bi.team","problem_statements":["Evidence Use","Iterative Learning","Service Design","Outcomes Measurement","Feedback Loops"],"problem_areas":["Test & Learn","Service Delivery"],"degree":14},{"id":52,"name":"Bloom Works","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal","State"],"description":"Digital services consultancy delivering user research, service design, engineering, and content strategy to government agencies. Focus on healthcare.gov and social services modernization. Woman-owned small business.","funding_model":"Private","funding_detail":"Federal and state government contracts","named_funders":["State Government"],"website":"bloomworks.digital","problem_statements":["Service Design","Benefits Access","Healthcare Access","Iterative Learning"],"problem_areas":["Service Delivery","Domains","Test & Learn"],"degree":18},{"id":53,"name":"Civic Consulting Alliance","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting","Research"],"focus":["City"],"description":"Chicago-based nonprofit (est. 1985) providing $15-30M/year in pro bono consulting to city and county government. Mobilizes corporate partners (BCG, Deloitte, McKinsey, etc.) for systems-level projects on economic development, education, safety, and health. $200M+ total investment facilitated.","funding_model":"Philanthropy","funding_detail":"MacArthur Foundation, corporate pro bono partners, philanthropic grants","named_funders":["MacArthur Foundation"],"website":"ccachicago.org","problem_statements":["Operational Excellence","Scaling What Works","Service Design","Outcomes Measurement"],"problem_areas":["Procurement & Operations","Test & Learn","Service Delivery"],"degree":9},{"id":54,"name":"Civic Design Collaborative","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal","State","City"],"description":"Human-centered design and civic innovation consultancy working with government agencies on service delivery improvement.","funding_model":"Government Contracts, Grants","funding_detail":"Government contracts; grant funding","named_funders":[],"website":"civicdesign.co","problem_statements":["Service Design","Benefits Access","Iterative Learning"],"problem_areas":["Service Delivery","Test & Learn"],"degree":15},{"id":55,"name":"CivicActions","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal","State"],"description":"Twenty years delivering digital services to federal and state agencies - open-source by default and outcomes-focused. Current portfolio includes healthcare.gov, medicare.gov, cms.gov, nsf.gov, and va.gov, with deep practice in agile delivery, user-centered design, accessibility compliance, DevSecOps, and responsible AI-enabled modernization.","funding_model":"Private","funding_detail":"Federal and state government contracts","named_funders":["State Government"],"website":"civicactions.com","problem_statements":["Service Design","Legacy Systems","Shared Platforms"],"problem_areas":["Service Delivery","Technology & Data"],"degree":9},{"id":56,"name":"Civilla","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting","Research"],"focus":["State","City"],"description":"Nonprofit design studio dedicated to changing how public-serving institutions work. Human-centered design approach to redesigning government forms, processes, and services. Redesigned Michigan's public benefits application (recognized by Harvard Innovations in Government). Partners with Beeck Center.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants + earned revenue from government partnerships","named_funders":[],"website":"civilla.org","problem_statements":["Service Design","Benefits Access","Regulatory & Administrative Burden","Iterative Learning"],"problem_areas":["Service Delivery","Procurement & Operations","Test & Learn"],"degree":13},{"id":57,"name":"Code for America","primary_segment":"Digital Services & Consulting","segments":["Advocacy","Digital Services & Consulting","Fellowships"],"focus":["Federal","State","City"],"description":"Leading civic tech nonprofit (15+ yrs). Builds digital tools and changes policies improving criminal justice, safety net, and tax systems. Hosts annual Summit.","funding_model":"Government,Philanthropy","funding_detail":"Philanthropic grants + government contracts","named_funders":[],"website":"codeforamerica.org","problem_statements":["Benefits Access","Service Design","Criminal Justice","Procurement Reform","Iterative Learning"],"problem_areas":["Service Delivery","Domains","Procurement & Operations","Test & Learn"],"degree":9},{"id":58,"name":"Coforma","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal"],"description":"Federal digital services firm with strong portfolio in healthcare and civic technology (healthcare.gov, VA, USDS partnerships). SBA-certified.","funding_model":"Private","funding_detail":"Federal government contracts","named_funders":["Federal Government"],"website":"coforma.io","problem_statements":["Service Design","Legacy Systems","Benefits Access","Healthcare Access"],"problem_areas":["Service Delivery","Technology & Data","Domains"],"degree":13},{"id":59,"name":"Greater Good Studio","primary_segment":"Digital Services & Consulting","segments":["Community","Digital Services & Consulting"],"focus":["Federal","State","City"],"description":"Chicago-based design studio applying human-centered design to complex social challenges, including government service delivery, health equity, and criminal justice. Maintains a database of social impact-oriented design professionals and organizations available at greatergoodstudio.com/database. Works with government agencies, nonprofits, and foundations.","funding_model":"Government Contracts, Philanthropy","funding_detail":"Government contracts; foundation grants","named_funders":[],"website":"greatergoodstudio.com","problem_statements":["Service Design","Criminal Justice","Benefits Access","Iterative Learning"],"problem_areas":["Service Delivery","Domains","Test & Learn"],"degree":10},{"id":60,"name":"GreenInfo Network","primary_segment":"Digital Services & Consulting","segments":["Advocacy","Digital Services & Consulting"],"focus":["Federal","State","City"],"description":"Nonprofit providing GIS, mapping, and data services primarily to government agencies and advocacy organizations. Notable California state agency relationships.","funding_model":"Government Contracts, Grants","funding_detail":"Government contracts; foundation grants","named_funders":[],"website":"greeninfo.org","problem_statements":["Transparency & Accountability","Data Integration","Housing & Land Use","Outcomes Measurement","Public Health"],"problem_areas":["Participatory Democracy","Technology & Data","Domains","Test & Learn"],"degree":9},{"id":61,"name":"Harvard Government Performance Lab (GPL)","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting","Fellowships"],"focus":["State","City"],"description":"Embeds full-time fellows in state/local government agencies for 12-36 month reform projects on child welfare, criminal justice, homelessness, housing, and procurement. 112 jurisdictions across 38 states. 278+ projects shifting $7B+ in government spending. Pro bono. Part of Harvard Kennedy School.","funding_model":"University,Philanthropy","funding_detail":"Bloomberg Philanthropies, Rockefeller Foundation + Harvard Kennedy School","named_funders":["Bloomberg Philanthropies","Rockefeller Foundation"],"website":"govlab.hks.harvard.edu","problem_statements":["Procurement Reform","Outcomes Measurement","Criminal Justice","Child Welfare","Evidence Use","Scaling What Works","Housing & Land Use","Workforce Development","Crisis Response"],"problem_areas":["Procurement & Operations","Test & Learn","Domains","Talent & Hiring"],"degree":8},{"id":62,"name":"Illinois Digital Service","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting","Government"],"focus":["State"],"description":"Nonprofit technology partner (fiscally sponsored by Digital Harbor Foundation) offering pro bono digital services to state and local Illinois government agencies. Small team of civic technologists with federal and state government backgrounds. Work spans product management, UX research, service design, software engineering, and data. Current projects include improving public-facing digital services for Illinois agencies. Collaborates with government staff embedded in agency delivery rather than from the outside.","funding_model":"Philanthropy","funding_detail":"Families and Workers Fund, P33, Origami Works Foundation; fiscally sponsored by Digital Harbor Foundation","named_funders":[],"website":"illinoisdigitalservice.org","problem_statements":["Service Design","Legacy Systems","Benefits Access","Iterative Learning"],"problem_areas":["Service Delivery","Technology & Data","Test & Learn"],"degree":11},{"id":63,"name":"Mighty Acorn Digital","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal","State","City"],"description":"Digital services firm providing product management and delivery support to government agencies.","funding_model":"Private","funding_detail":"Government contracts","named_funders":[],"website":"mightyacorn.digital","problem_statements":["Service Design","Iterative Learning","Legacy Systems"],"problem_areas":["Service Delivery","Test & Learn","Technology & Data"],"degree":13},{"id":64,"name":"mRelief","primary_segment":"Digital Services & Consulting","segments":["Advocacy","Digital Services & Consulting"],"focus":["City"],"description":"Nonprofit building tools to simplify access to government benefits. Text and web-based screeners help residents determine eligibility for SNAP, Medicaid, and other programs. Grew out of Chi Hack Night. Partners with city governments and social service orgs.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"mrelief.com","problem_statements":["Benefits Access","Service Design","Regulatory & Administrative Burden","Healthcare Access"],"problem_areas":["Service Delivery","Procurement & Operations","Domains"],"degree":9},{"id":65,"name":"Nava PBC","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal","State"],"description":"Public benefit corporation delivering agile software development, user-centered design, and cloud engineering to government agencies. Built Healthcare.gov fixes and VA.gov. ~200 employees focused exclusively on government digital services.","funding_model":"Private","funding_detail":"Federal and state government contracts","named_funders":["State Government"],"website":"navapbc.com","problem_statements":["Service Design","Legacy Systems","Benefits Access","Healthcare Access"],"problem_areas":["Service Delivery","Technology & Data","Domains"],"degree":11},{"id":66,"name":"Partners for Public Good (PPG)","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting","Ecosystems"],"focus":["State","City"],"description":"Independent nonprofit (launched Mar 2025) spun out of Harvard GPL's procurement research initiative after a decade of incubation. Helps state and local governments improve procurement, staffing, digital infrastructure, and budgeting. Runs Procurement Excellence Network (2,000+ government officials across all 50 states). $5.4B in public spending affected. 200+ local jurisdictions served.","funding_model":"Philanthropy","funding_detail":"Bloomberg Philanthropies + philanthropic grants","named_funders":["Bloomberg Philanthropies"],"website":"partnersforpublicgood.org","problem_statements":["Procurement Reform","Service Design","Operational Excellence","Hiring Architecture"],"problem_areas":["Procurement & Operations","Service Delivery","Talent & Hiring"],"degree":8},{"id":67,"name":"Public Policy Lab","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal","State","City"],"description":"Nonprofit innovation lab applying human-centered design to government service delivery through direct government agency contracts and grants.","funding_model":"Government Contracts, Philanthropy","funding_detail":"Government contracts; foundation grants","named_funders":[],"website":"publicpolicylab.org","problem_statements":["Service Design","Benefits Access","Iterative Learning"],"problem_areas":["Service Delivery","Test & Learn"],"degree":16},{"id":68,"name":"Skylight Digital","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal"],"description":"Digital government consultancy delivering agile procurement support, user-centered design, cloud/DevOps, and API-first architecture to federal agencies. HUBZone-certified small business.","funding_model":"Private","funding_detail":"Federal and state government contracts","named_funders":["State Government"],"website":"skylight.digital","problem_statements":["Procurement Reform","Service Design","Legacy Systems"],"problem_areas":["Procurement & Operations","Service Delivery","Technology & Data"],"degree":12},{"id":69,"name":"Third Sector Capital Partners","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting","Research"],"focus":["Federal","State","City"],"description":"Nonprofit TA firm helping government agencies design and implement outcomes-focused contracting, Pay for Success structures, and data-driven service delivery. Government agencies are primary clients.","funding_model":"Government Contracts, Philanthropy","funding_detail":"Government TA contracts; foundation grants","named_funders":[],"website":"thirdsectorcap.org","problem_statements":["Outcomes Measurement","Evidence Use","Procurement Reform","Scaling What Works","Criminal Justice","Healthcare Access","Benefits Access","Workforce Development"],"problem_areas":["Test & Learn","Procurement & Operations","Domains","Service Delivery","Talent & Hiring"],"degree":11},{"id":70,"name":"Truss","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["Federal"],"description":"Federal digital services firm with strong portfolio including IRS Direct File, USWDS contributions, .gov registrar, and VA work. 8(a) SBA certified.","funding_model":"Private","funding_detail":"Federal government contracts; 8(a) certified","named_funders":["Federal Government"],"website":"truss.works","problem_statements":["Procurement Reform","Service Design","Data Security","Shared Platforms"],"problem_areas":["Procurement & Operations","Service Delivery","Technology & Data"],"degree":9},{"id":71,"name":"U.S. Digital Response (USDR)","primary_segment":"Digital Services & Consulting","segments":["Advocacy","Digital Services & Consulting"],"focus":["State","City"],"description":"Matches 11,000+ volunteer technologists with governments needing pro bono technical assistance on digital services, procurement, talent, AI, and language access. 600+ engagements to date across state, local, tribal, and federal governments. Program areas include generative AI, election administration, and talent design. Focus on building lasting government capacity. Runs Digital Service Champions Awards.","funding_model":"Philanthropy","funding_detail":"Schmidt Futures, philanthropic grants","named_funders":["Schmidt Futures"],"website":"usdigitalresponse.org","problem_statements":["Service Design","Crisis Response","Benefits Access","Scaling What Works"],"problem_areas":["Service Delivery","Domains","Test & Learn"],"degree":10},{"id":72,"name":"VotingWorks","primary_segment":"Digital Services & Consulting","segments":["Digital Services & Consulting"],"focus":["State","City"],"description":"Nonpartisan nonprofit building open-source, publicly owned voting machines and election auditing software. Only nonprofit building certified voting systems in the US. Deployed in multiple states.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants; nonprofit; only certified nonprofit voting system builder in US","named_funders":[],"website":"voting.works","problem_statements":["Democracy Infrastructure","Data Security","Shared Platforms","Transparency & Accountability"],"problem_areas":["Participatory Democracy","Technology & Data"],"degree":8},{"id":73,"name":"Abundance Network","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["Federal","State","City"],"description":"National network connecting organizations and advocates advancing abundance-oriented policy reform across housing, energy, and permitting. Functions as a coordinating infrastructure for the broader abundance movement.","funding_model":"Philanthropy","funding_detail":"Member dues + philanthropic support","named_funders":[],"website":"abundancenetwork.com","problem_statements":["Housing & Land Use","Permitting & Licensing","Regulatory & Administrative Burden"],"problem_areas":["Domains","Procurement & Operations"],"degree":8},{"id":74,"name":"Accelerator for America","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"Mayoral-led nonprofit co-founded by Eric Garcetti providing cities with technical assistance on federal funding, infrastructure, and economic development. Active in 60+ cities. Supports smart city strategic plans, EDA Tech Hubs applications, and ballot initiative support. Distinctive model: mayors helping mayors navigate federal investment landscape.","funding_model":"Philanthropy, Government Contracts","funding_detail":"Foundation grants; government TA fees","named_funders":[],"website":"acceleratorforamerica.org","problem_statements":["Physical Infrastructure","Housing & Land Use","Economic Mobility","Scaling What Works","Procurement Reform"],"problem_areas":["Domains","Test & Learn","Procurement & Operations"],"degree":13},{"id":75,"name":"All Tech Is Human","primary_segment":"Ecosystems","segments":["Community","Ecosystems"],"focus":["Federal","State","City"],"description":"Responsible tech ecosystems org. Slack community, job board, and mentorship program connecting people to careers in public interest technology. Focuses on diversifying the pipeline into tech policy and civic tech roles.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants + community support","named_funders":[],"website":"alltechishuman.org","problem_statements":["Talent Pipeline","Expert Contribution","Civic Engagement"],"problem_areas":["Talent & Hiring","Participatory Democracy"],"degree":10},{"id":76,"name":"ASTHO (Association of State and Territorial Health Officials)","primary_segment":"Ecosystems","segments":["Capacity Building","Ecosystems"],"focus":["Federal","State"],"description":"National nonprofit representing 59 chief public health officials from 49 states, DC, 5 territories, and 3 Freely Associated States. One of three CDC-designated national partners for the $5B+ Public Health Infrastructure Grant (PHIG, 2022-2027), providing training, technical assistance, workforce development, and data modernization support to 107 funded health departments. Jointly launched the $255M Public Health Data Modernization Implementation Center Program (2024) with NNPHI and PHAB to accelerate health IT standards adoption across state and local health agencies. Develops national public health policy and runs the PH WINS workforce survey in partnership with de Beaumont Foundation.","funding_model":"Membership","funding_detail":"CDC cooperative agreements (primary, including $155M+ PHIG share) + membership dues from state/territorial health officials + federal grants","named_funders":[],"website":"astho.org","problem_statements":["Public Health","Data Integration","Talent Pipeline","Operational Excellence"],"problem_areas":["Domains","Technology & Data","Talent & Hiring","Procurement & Operations"],"degree":8},{"id":77,"name":"Bloomberg Cities Network","primary_segment":"Ecosystems","segments":["Ecosystems","Philanthropy"],"focus":["City"],"description":"JHU-hosted peer network for city leaders and innovators, created in partnership with Bloomberg Philanthropies. Provides peer networking, idea exchange, training resources, and city solution replication infrastructure. Distinct from the Bloomberg Harvard City Leadership Initiative (training) and Bloomberg Philanthropies Government Innovation (grantmaking).","funding_model":"Philanthropy","funding_detail":"Bloomberg Philanthropies","named_funders":["Bloomberg Philanthropies"],"website":"bloombergcities.jhu.edu","problem_statements":["Scaling What Works","Outcomes Measurement","AI in Government","Civic Engagement"],"problem_areas":["Test & Learn","Domains","Participatory Democracy"],"degree":8},{"id":78,"name":"Bloomberg Philanthropies City Data Alliance","primary_segment":"Ecosystems","segments":["Capacity Building","Ecosystems"],"focus":["City"],"description":"Bloomberg Philanthropies program investing 60 million to help cities across the Americas build data infrastructure and AI readiness. 65 cities across 12 countries in current cohort. Structured peer learning model: mayors and chief data officers receive training, tools, and peer network access to advance data-driven governance.","funding_model":"Philanthropy","funding_detail":"Bloomberg Philanthropies (60 million program, launched 2022)","named_funders":["Bloomberg Philanthropies"],"website":"bloomberg.org/government-innovation","problem_statements":["Outcomes Measurement","AI in Government","Data Integration","Scaling What Works","Evidence Use"],"problem_areas":["Test & Learn","Domains","Technology & Data"],"degree":14},{"id":79,"name":"City Innovate","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"San Francisco-based nonprofit running the Startup in Residence (STIR) program, connecting startups to government agencies to co-design technology solutions for defined government challenges. Structured procurement reform model that creates a path from co-design to contract. Operates nationally.","funding_model":"Government Contracts, Grants","funding_detail":"Government agency fees; philanthropic grants","named_funders":[],"website":"cityinnovate.org","problem_statements":["Procurement Reform","Scaling What Works"],"problem_areas":["Procurement & Operations","Test & Learn"],"degree":9},{"id":80,"name":"CivStart","primary_segment":"Ecosystems","segments":["Ecosystems","Investor"],"focus":["City"],"description":"Nonprofit govtech accelerator focused on state and local government technology. Six annual cohorts, 71+ startups scaled. Runs a 12-month accelerator, GovTech Lab, and Venture Partner Network connecting startups to investors. Most recent cohort focused on AI in local government in partnership with NLC and GovAI Coalition.","funding_model":"Grants, Philanthropy","funding_detail":"Foundation grants; government and corporate partnerships","named_funders":[],"website":"civstart.org","problem_statements":["Procurement Reform","Scaling What Works","AI in Government"],"problem_areas":["Procurement & Operations","Test & Learn","Domains"],"degree":11},{"id":81,"name":"Colorado Smart Cities Alliance","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"Statewide coalition of government, business, and academic partners convening around smart city technology adoption in Colorado. Runs challenge-based procurement programs, pilots, and the Smart Futures Lab accelerator. Member of the National Smart Coalitions Partnership.","funding_model":"Membership, Grants","funding_detail":"Member dues; NSF, EDA grants","named_funders":["NSF"],"website":"coloradosmart.city","problem_statements":["Physical Infrastructure","Procurement Reform"],"problem_areas":["Domains","Procurement & Operations"],"degree":10},{"id":82,"name":"GovAI Coalition","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["State","City"],"description":"Coalition of 2,000+ public servants from 700+ local, county, and state governments advocating for responsible public sector AI. Historically led by City of San Jose, but transitioned to full non-profit status. Produces AI policy templates, vendor AI FactSheets, use case libraries, and AI Contract Hub. Open to government, academia, and industry.","funding_model":"Government","funding_detail":"City of San Jose leads; member contributions; philanthropic support","named_funders":[],"website":"sanjoseca.gov/govai","problem_statements":["AI in Government","Transparency & Accountability","Scaling What Works","Procurement Reform"],"problem_areas":["Domains","Participatory Democracy","Test & Learn","Procurement & Operations"],"degree":9},{"id":83,"name":"HSITAG (Human Services IT Advisory Group)","primary_segment":"Ecosystems","segments":["Ecosystems"],"focus":["Federal","State","City"],"description":"The Human Services IT Advisory Group (HSITAG) is a nonprofit trade association (under CompTIA) serving as the bridge between health and human services IT vendors and government HHS agencies. Founded 1993, 123 member companies. Trusted advisor to federal and state HHS technology procurement officials. Key node for human services technology, benefits delivery, and HHS IT problem statements.","funding_model":"Membership","funding_detail":"Member dues from 123 technology companies; CompTIA affiliation","named_funders":[],"website":"hsitag.org","problem_statements":["Benefits Access","Data Integration","Legacy Systems","Procurement Reform","Operational Excellence"],"problem_areas":["Service Delivery","Technology & Data","Procurement & Operations"],"degree":8},{"id":84,"name":"Illinois Smart City and Region Association (ISCRA)","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"501c3 nonprofit association bringing municipalities and technology vendors together in a neutral forum to advance smart city and region initiatives across Illinois. Member of the National Smart Coalitions Partnership.","funding_model":"Membership, Grants","funding_detail":"Member dues; grant funding","named_funders":[],"website":"illinoissmart.org","problem_statements":["Physical Infrastructure","Procurement Reform","Operational Excellence"],"problem_areas":["Domains","Procurement & Operations"],"degree":12},{"id":85,"name":"KC Digital Drive","primary_segment":"Ecosystems","segments":["Advocacy","Community","Ecosystems"],"focus":["City"],"description":"Kansas City-based nonprofit founded in 2012 to make the region a digital leader. Runs Code for KC, convenes the KC Coalition for Digital Inclusion, and hosts civic tech and smart city programs. Member of the National Smart Coalitions Partnership.","funding_model":"Grants, Philanthropy","funding_detail":"Bloomberg Philanthropies, Knight Foundation, NSF","named_funders":["Bloomberg Philanthropies","Knight Foundation","NSF"],"website":"kcdigitaldrive.org","problem_statements":["Civic Engagement","Data Integration","Benefits Access","Broadband & Internet Connectivity"],"problem_areas":["Participatory Democracy","Technology & Data","Service Delivery","Domains"],"degree":9},{"id":86,"name":"Leading Cities","primary_segment":"Ecosystems","segments":["Ecosystems"],"focus":["City"],"description":"Global city network operating AcceliGOV, a structured program that deploys vetted smart city technology solutions into municipalities through 90-day paid pilots. Government is the customer; Leading Cities handles sourcing, vetting, onboarding, and deployment support. Clinton Global Initiative partner. 32+ projects completed; goal of 100 resilience projects in 100 communities by 2030. Focus areas: coastal resilience, flood risk, water management, mobility, and urban infrastructure.","funding_model":"Mixed","funding_detail":"Philanthropic grants + corporate partnerships + city engagement fees","named_funders":[],"website":"leadingcities.org","problem_statements":["Physical Infrastructure","AI in Government","Procurement Reform","Service Design"],"problem_areas":["Domains","Service Delivery","Procurement & Operations"],"degree":8},{"id":87,"name":"NASCIO (National Association of State Chief Information Officers)","primary_segment":"Ecosystems","segments":["Ecosystems","Research","Think Tank"],"focus":["State"],"description":"The primary peer network, research body, and voice for state CIOs. Conducts the annual State CIO Survey (51 state/territory responses in 2025) and publishes State CIO Top 10 Priorities. Partners with McKinsey, EY, and Deloitte on major research initiatives including GenAI adoption, cybersecurity, and data quality. Hosts two annual conferences in DC and a fall gathering. Produces the definitive annual mapping of state technology priorities. NASCIO State IT Recognition Awards annually highlight the most innovative state IT programs.","funding_model":"Government","funding_detail":"State membership dues + corporate associate program + conference revenue","named_funders":[],"website":"nascio.org","problem_statements":["AI in Government","Data Security","Operational Excellence","Scaling What Works","Procurement Reform"],"problem_areas":["Domains","Technology & Data","Procurement & Operations","Test & Learn"],"degree":9},{"id":88,"name":"National Association of State Workforce Agencies (NASWA)","primary_segment":"Ecosystems","segments":["Capacity Building","Ecosystems"],"focus":["Federal","State"],"description":"National nonprofit (est. 1937) representing all 50 state workforce agencies, DC, and US territories. Operates the UI Information Technology Support Center (UI ITSC), the Workforce ITSC, UI SIDES (State Information Data Exchange System), UI ICON (Interstate Connection Network), and the National Labor Exchange -- the backbone technology and standards infrastructure for state UI and workforce systems. Provides technology consulting, training, and policy advocacy to state agencies. Partnered with Georgetown Beeck Center and DOL on the Open UI Initiative. CESER (Center for Employment Security Education and Research) is its 501(c)(3) research and consulting arm.","funding_model":"Membership","funding_detail":"Membership dues from 50 state workforce agencies + federal contracts and cooperative agreements (DOL); CESER 501(c)(3) arm receives federal grants","named_funders":[],"website":"naswa.org","problem_statements":["Legacy Systems","Workforce Development","Operational Excellence","Data Integration","Procurement Reform"],"problem_areas":["Technology & Data","Talent & Hiring","Procurement & Operations"],"degree":8},{"id":89,"name":"NNPHI (National Network of Public Health Institutes)","primary_segment":"Ecosystems","segments":["Capacity Building","Ecosystems"],"focus":["Federal","State","City"],"description":"National membership association representing 40+ state and regional public health institutes. One of three CDC-designated national partners for the $5B+ Public Health Infrastructure Grant (PHIG, 2022-2027). Provides technical assistance to health departments through nine Regional Innovation Hubs covering all 50 states. Operates the National Coordinating Center for Public Health Training (NCCPHT). Co-leads PHIG national evaluation with PHAB. Co-launched the $255M Public Health Data Modernization Implementation Center Program in 2024 to accelerate HL7 FHIR and related health IT standards in state and local health agencies.","funding_model":"Membership","funding_detail":"CDC cooperative agreements (primary, including PHIG share) + member fees + federal and foundation grants (Robert Wood Johnson Foundation, HHS Office of Minority Health)","named_funders":["Robert Wood Johnson Foundation"],"website":"nnphi.org","problem_statements":["Public Health","Data Integration","Talent Pipeline","Operational Excellence","Scaling What Works"],"problem_areas":["Domains","Technology & Data","Talent & Hiring","Procurement & Operations","Test & Learn"],"degree":8},{"id":90,"name":"North Texas Innovation Alliance (NTXIA)","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"501c3 regional consortium of 50+ municipalities, agencies, corporations, and academic institutions across North Texas. Facilitates call-for-innovation programs, procurement reform, and smart region strategy. Largest initiative of its kind in the US.","funding_model":"Membership, Grants","funding_detail":"Member dues; grant funding","named_funders":[],"website":"ntxia.org","problem_statements":["Procurement Reform","Physical Infrastructure"],"problem_areas":["Procurement & Operations","Domains"],"degree":8},{"id":91,"name":"Partnership Fund for NYC","primary_segment":"Ecosystems","segments":["Ecosystems","Investor","Philanthropy"],"focus":["City"],"description":"NYC-based evergreen fund running structured challenge programs connecting early-stage startups to public agencies (MTA, Port Authority, NYCHA) for proof-of-concept pilots and procurement pathways. Has brokered 32 million+ in government contracts. Ecosystem intermediary bridging GovTech vendors and city government.","funding_model":"Philanthropy, Government Contracts","funding_detail":"Philanthropic and public agency contributions","named_funders":[],"website":"pfnyc.org","problem_statements":["Procurement Reform","Scaling What Works"],"problem_areas":["Procurement & Operations","Test & Learn"],"degree":8},{"id":92,"name":"SETDA (State Educational Technology Directors Association)","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["State"],"description":"Principal national membership association representing U.S. state and territorial educational technology and digital learning leaders. Members are state government officials (state ed agency CIOs and ed tech directors). Publishes the annual State EdTech Trends report (47-state survey); produces procurement guidance; advocates for federal ed tech funding (E-rate, Title II-A); and builds capacity of state education agencies to adopt technology responsibly. Founded 2001; 25+ years of operation.","funding_model":"Membership","funding_detail":"State education agency membership dues + foundation grants (Siegel Family Endowment, Google.org) + federal education grants","named_funders":[],"website":"setda.org","problem_statements":["Education Delivery","AI in Government","Procurement Reform","Scaling What Works","Data Security"],"problem_areas":["Domains","Procurement & Operations","Test & Learn","Technology & Data"],"degree":10},{"id":93,"name":"Smart North Florida (SNF)","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"Nonprofit dedicated to harnessing regional collaboration, data coordination, and smart technologies to improve Northeast Florida economic competitiveness, sustainability, and quality of life. Member of the National Smart Coalitions Partnership.","funding_model":"Membership, Grants","funding_detail":"Member dues; grant funding","named_funders":[],"website":"smartnorthflorida.org","problem_statements":["Physical Infrastructure","Data Integration","Operational Excellence"],"problem_areas":["Domains","Technology & Data","Procurement & Operations"],"degree":10},{"id":94,"name":"Southern Arizona Smart Region (Regional Partnering Center)","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"Greater Tucson regional smart city initiative led by the Regional Partnering Center, a public-private partnership. Works to build economic competitiveness and quality of life through collaborative smart region strategy. Member of the National Smart Coalitions Partnership.","funding_model":"Membership, Grants","funding_detail":"Member dues; grant funding","named_funders":[],"website":"regionalpartneringcenter.org","problem_statements":["Physical Infrastructure","Procurement Reform","Data Integration","Operational Excellence"],"problem_areas":["Domains","Procurement & Operations","Technology & Data"],"degree":10},{"id":95,"name":"The Connective","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems"],"focus":["City"],"description":"Greater Phoenix smart region consortium launched in 2019. Partners public sector, academia, industry, and civic institutions to co-design and deploy technology solutions for regional challenges. Problem-driven model: cities surface needs, the Connective facilitates solution development.","funding_model":"Membership","funding_detail":"Member dues","named_funders":[],"website":"connective.city","problem_statements":["Physical Infrastructure","Procurement Reform"],"problem_areas":["Domains","Procurement & Operations"],"degree":9},{"id":96,"name":"US Ignite","primary_segment":"Ecosystems","segments":["Advocacy","Ecosystems","Research"],"focus":["Federal","City"],"description":"National nonprofit (NSF-originated) providing technical assistance and capacity-building to communities navigating broadband deployment and smart city development. Manages federal funding identification tools, runs community programs including Project OVERCOME, and operates the PAWR advanced wireless research platform.","funding_model":"Grants, Government Contracts","funding_detail":"NSF, Schmidt Futures, Knight Foundation; federal program funding","named_funders":["Knight Foundation","NSF","Schmidt Futures"],"website":"us-ignite.org","problem_statements":["Physical Infrastructure","Scaling What Works","Broadband & Internet Connectivity"],"problem_areas":["Domains","Test & Learn"],"degree":9},{"id":97,"name":"AAAS S&T Policy Fellowships","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["Federal"],"description":"1-2 year fellowships placing scientists and engineers in federal agencies and Congress. Expanded AI tracks. 3,500+ alumni since 1973.","funding_model":"Government","funding_detail":"AAAS membership + agency sponsorship","named_funders":[],"website":"aaas.org/stpf","problem_statements":["Expert Contribution","Talent Pipeline"],"problem_areas":["Talent & Hiring"],"degree":16},{"id":98,"name":"California Capital Fellows Program","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["State"],"description":"Four fellowships (Assembly, Senate, Executive, Judicial) placing 64 fellows/year at highest levels of CA state government for 10-11 months. Fellows assist legislators, senior executive staff, and court administrators on policy. Nationally recognized.","funding_model":"Government","funding_detail":"CA state general fund","named_funders":[],"website":"csus.edu/center/center-california-studies/capital-fellows","problem_statements":["Talent Pipeline","Hiring Process","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":13},{"id":99,"name":"CCST (California Council on Science and Technology)","primary_segment":"Fellowships","segments":["Fellowships","Research"],"focus":["State"],"description":"Hybrid research and fellowship organization placing 10-15 PhD-level fellows annually into the California Legislature and Executive Branch. One of the longest-running state-level science fellowship programs in the US.","funding_model":"Government, Philanthropy","funding_detail":"State general fund; foundation grants","named_funders":[],"website":"ccst.us","problem_statements":["Expert Contribution","Talent Pipeline"],"problem_areas":["Talent & Hiring"],"degree":15},{"id":100,"name":"CivicSpark (AmeriCorps)","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["State","City"],"description":"11-month AmeriCorps fellowship placing ~150 fellows/year in local governments and community orgs for capacity building on climate, housing, water, transportation, public health. 1,000+ alumni since 2014. Expanding beyond CA/CO/WA to all states starting 2025.","funding_model":"Government,Philanthropy","funding_detail":"AmeriCorps federal funding + local agency cost-share ($37,500/fellow)","named_funders":[],"website":"civicsparkfellowship.org","problem_statements":["Talent Pipeline","Physical Infrastructure","Broadband & Internet Connectivity","Public Health","Expert Contribution"],"problem_areas":["Talent & Hiring","Domains"],"degree":8},{"id":101,"name":"Coding it Forward Fellowship","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["Federal","State","City"],"description":"10-week paid summer placement of early-career technologists in federal, state, and local government. Five tracks: data, design, product, software, cybersecurity. 700+ alumni.","funding_model":"Philanthropy","funding_detail":"Ford Foundation, Siegel Family Endowment, McGovern Foundation, Pivotal Ventures","named_funders":["Ford Foundation","Patrick J. McGovern Foundation"],"website":"codingitforward.com","problem_statements":["Talent Pipeline","Hiring Process","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":18},{"id":102,"name":"Cornell Tech PiTech Initiative","primary_segment":"Fellowships","segments":["Fellowships","Research"],"focus":["Federal","State","City"],"description":"PhD Impact Fellowships, Visiting Practitioner's Program, and PiTech Impact Studio for graduate students working on public interest technology.","funding_model":"University","funding_detail":"Cornell Tech endowment","named_funders":[],"website":"tech.cornell.edu/pitech","problem_statements":["Talent Pipeline","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":13},{"id":103,"name":"Coro Fellows Program in Public Affairs","primary_segment":"Fellowships","segments":["Capacity Building","Fellowships"],"focus":["Federal","State","City"],"description":"7-9 month full-time experiential leadership program. Fellows rotate through placements in government, nonprofit, business, and labor. 80+ year track record. 15,000+ alumni including US Senators and elected officials. Programs in LA, SF, NYC, Pittsburgh, St. Louis.","funding_model":"Philanthropy","funding_detail":"Philanthropic + earned revenue","named_funders":[],"website":"corofellowship.org","problem_statements":["Talent Pipeline","Expert Contribution","Civic Engagement"],"problem_areas":["Talent & Hiring","Participatory Democracy"],"degree":8},{"id":104,"name":"DC Capital City Fellows Program (CCFP)","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["City"],"description":"18-month mayoral initiative placing recent masters graduates in DC government agencies. Three 6-month rotations across government operations, health/human services, public safety, planning, or education. Entry salary ~$62K.","funding_model":"Government","funding_detail":"DC government budget","named_funders":[],"website":"dc.gov/capitalcityfellows","problem_statements":["Talent Pipeline","Hiring Process","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":12},{"id":105,"name":"FUSE Corps","primary_segment":"Fellowships","segments":["Capacity Building","Fellowships"],"focus":["State","City"],"description":"1-year executive fellowship placing experienced professionals in city/county agencies for strategic projects. 250+ projects across 42 cities/18 states.","funding_model":"Philanthropy","funding_detail":"Ford Foundation, Hewlett Foundation, Chan Zuckerberg Initiative, Irvine Foundation","named_funders":["Ford Foundation","Hewlett Foundation"],"website":"fuse.org","problem_statements":["Talent Pipeline","Operational Excellence","Expert Contribution","Outcomes Measurement"],"problem_areas":["Talent & Hiring","Procurement & Operations","Test & Learn"],"degree":10},{"id":106,"name":"Georgetown McCourt Tech & Policy Visiting Fellows","primary_segment":"Fellowships","segments":["Fellowships","Research"],"focus":["Federal","State","City"],"description":"Semester-long visiting fellowship for tech policy practitioners at Georgetown McCourt School. Multiple USDS alumni and former federal tech officials in inaugural 2025 cohort. Fellows write policy essays, mentor students, and conduct research.","funding_model":"University","funding_detail":"Georgetown University","named_funders":[],"website":"mccourt.georgetown.edu/tech-and-public-policy","problem_statements":["Expert Contribution","AI in Government"],"problem_areas":["Talent & Hiring","Domains"],"degree":9},{"id":107,"name":"Govern for America (GFA)","primary_segment":"Fellowships","segments":["Fellowships","Research"],"focus":["State"],"description":"Two-year paid fellowship placing recent graduates in high-impact state/local government roles. Published AI x Talent research for states.","funding_model":"Philanthropy","funding_detail":"Microsoft, Public Interest Tech Fund (Ford/Siegel/McGovern/Pivotal)","named_funders":["Public Interest Tech Fund"],"website":"govforamerica.org","problem_statements":["Talent Pipeline","Hiring Process","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":14},{"id":108,"name":"Harvard Ash Center Democracy Fellowships","primary_segment":"Fellowships","segments":["Fellowships","Research"],"focus":["Federal","State","City"],"description":"Financial support for doctoral and postdoctoral researchers studying democratic governance, innovation in government, and civic technology. Part of the Ash Center's Program on Democratic Governance.","funding_model":"University,Philanthropy","funding_detail":"Ford Foundation endowment + Harvard","named_funders":["Ford Foundation"],"website":"ash.harvard.edu","problem_statements":["Democracy Infrastructure","Civic Engagement","Evidence Use"],"problem_areas":["Participatory Democracy","Test & Learn"],"degree":9},{"id":109,"name":"Horizon Institute for Public Service","primary_segment":"Fellowships","segments":["Capacity Building","Fellowships"],"focus":["Federal","State","City"],"description":"Training and fellowships for scientists and technologists entering government service.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"horizoninstitute.org","problem_statements":["Expert Contribution","Talent Pipeline"],"problem_areas":["Talent & Hiring"],"degree":22},{"id":110,"name":"Judicial Innovation Fellowship (Georgetown)","primary_segment":"Fellowships","segments":["Fellowships","Research"],"focus":["State","City"],"description":"1-year fellowship placing technologists, designers, and user testers in state, local, tribal, and territorial courts to build data infrastructure, simplify processes, and improve access to justice. Inaugural cohort 2023-24. Incubated at Georgetown Law's Institute for Technology Law & Policy.","funding_model":"Philanthropy","funding_detail":"State Justice Institute (SJI) grants + Georgetown","named_funders":[],"website":"law.georgetown.edu/tech-institute/programs-and-initiatives/georgetown-justice-lab/judicial-innovation","problem_statements":["Criminal Justice","Service Design","Iterative Learning","Expert Contribution"],"problem_areas":["Domains","Service Delivery","Test & Learn","Talent & Hiring"],"degree":8},{"id":111,"name":"Lead for America","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["City"],"description":"Fellowship placing young leaders in local governments and nonprofits in their hometowns, with focus on rural and underserved communities. AmeriCorps-backed. Runs American Connection Corps, a digital inclusion program placing fellows in rural communities. Builds local government capacity from within through long-term place-based commitment.","funding_model":"Government, Philanthropy","funding_detail":"AmeriCorps; foundation grants","named_funders":[],"website":"leadforamerica.org","problem_statements":["Talent Pipeline","Hiring Process","Broadband & Internet Connectivity","Civic Engagement","Expert Contribution"],"problem_areas":["Talent & Hiring","Domains","Participatory Democracy"],"degree":8},{"id":112,"name":"Media Democracy Fund Fellowships","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["Federal","State","City"],"description":"Technology Exchange (12+ months at civil society orgs) and PhDX Fellowship (PhD students at DC policy orgs). Focused on public interest technology and media policy.","funding_model":"Philanthropy","funding_detail":"Media Democracy Fund","named_funders":["Democracy Fund"],"website":"mediademocracyfund.org","problem_statements":["Transparency & Accountability","Civic Engagement","Democracy Infrastructure"],"problem_areas":["Participatory Democracy"],"degree":8},{"id":113,"name":"NobleReach Scholars (NobleReach Foundation)","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["Federal","State","City"],"description":"1-2 year fully compensated fellowship placing early-career technologists (AI, cybersecurity, business process innovation) in federal, state, and local government roles. Launched 2024; 19 scholars in inaugural cohort, 28 in 2025 cohort (selected from 1,200+ applicants). Expanded in April 2025 to include state and local government placements alongside federal. NobleReach named founding partner of OPM's U.S. Tech Force (Dec 2025). $400M+ endowment (proceeds from divestiture of LMI Consulting). Strong national security framing but meaningful state capacity placements - 2025 cohort placed at Oklahoma City, Pittsburgh, Miami-Dade Innovation Authority, Maryland DoIT, and Montgomery County PA AI Council.","funding_model":"Philanthropy","funding_detail":"$400M+ endowment from LMI Consulting divestiture; fellows receive full salary + $15K stipend","named_funders":[],"website":"noblereach.org","problem_statements":["Talent Pipeline","AI in Government","Hiring Architecture","Expert Contribution"],"problem_areas":["Talent & Hiring","Domains"],"degree":14},{"id":114,"name":"Paragon Policy Fellowship","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["Federal","State","City"],"description":"Connects university students and recent graduates with technology policy and digital governance work.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"paragonpolicyfellowship.org","problem_statements":["Talent Pipeline","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":22},{"id":115,"name":"S&T Impact Advisory Group","primary_segment":"Fellowships","segments":["Advocacy","Fellowships"],"focus":["Federal"],"description":"Advisory and program support organization helping science and technology fellowship programs launch and scale. Works with state legislatures and agencies to develop new S&T fellowship capacity.","funding_model":"Philanthropy, Government Contracts","funding_detail":"Foundation and government funding","named_funders":[],"website":"stimpact.org","problem_statements":["Expert Contribution","Talent Pipeline"],"problem_areas":["Talent & Hiring"],"degree":10},{"id":116,"name":"S&T Impact: State Legislative Futures Forum","primary_segment":"Fellowships","segments":["Capacity Building","Fellowships"],"focus":["State"],"description":"Partnership with TechCongress to extend tech policy fellowship model to state legislatures. Inaugural State Legislative Futures Forum held in DC 2025. Trains technologists on state-level policymaking.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"stimpact.org","problem_statements":["Expert Contribution","Talent Pipeline"],"problem_areas":["Talent & Hiring"],"degree":15},{"id":117,"name":"TechCongress","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["Federal"],"description":"1-year fellowship placing technologists as policy advisors in Congressional offices and committees. Bipartisan placements.","funding_model":"Philanthropy","funding_detail":"Hewlett Foundation, Omidyar Network, Ford Foundation","named_funders":["Ford Foundation","Hewlett Foundation","Omidyar Network"],"website":"techcongress.io","problem_statements":["Expert Contribution","Talent Pipeline"],"problem_areas":["Talent & Hiring"],"degree":24},{"id":118,"name":"xD (U.S. Census Bureau)","primary_segment":"Fellowships","segments":["Fellowships"],"focus":["Federal"],"description":"Emerging technology fellowship for mid-career technologists at Census Bureau focused on AI/ML, data engineering, and emerging tech.","funding_model":"Government","funding_detail":"Commerce Dept. appropriations","named_funders":[],"website":"xd.gov","problem_statements":["Data Integration","AI in Government","Transparency & Accountability","Talent Pipeline"],"problem_areas":["Technology & Data","Domains","Participatory Democracy","Talent & Hiring"],"degree":8},{"id":119,"name":"18F (GSA)","primary_segment":"Government","segments":["Government"],"focus":["Federal"],"description":"Eliminated March 2025. Was GSA internal consultancy providing agile development, procurement consulting, user research, and open-source tooling to federal agencies. Open-source resources redeployed externally by alumni.","funding_model":"Government (defunct)","funding_detail":"Was cost-recoverable within GSA","named_funders":[],"website":"18f.gsa.gov","problem_statements":["Procurement Reform","Transparency & Accountability","Legacy Systems","Shared Platforms"],"problem_areas":["Procurement & Operations","Participatory Democracy","Technology & Data"],"degree":8},{"id":120,"name":"ACF Digital Service","primary_segment":"Government","segments":["Digital Services & Consulting","Government"],"focus":["Federal"],"description":"Digital service team within the Administration for Children and Families (HHS). Builds and improves technology for federal child welfare, TANF, and human services programs. Verified active with 11-15 FTE.","funding_model":"Government","funding_detail":"Federal appropriations (HHS/ACF)","named_funders":[],"website":"acf.hhs.gov","problem_statements":["Child Welfare","Benefits Access","Legacy Systems"],"problem_areas":["Domains","Service Delivery","Technology & Data"],"degree":9},{"id":121,"name":"Arizona Strategic Enterprise Technology Office (ADOA-ASET)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Statewide IT strategy and digital services division within the Arizona Department of Administration, led by State CIO J.R. Sloan. Closed 90 on-premises data centers via a cloud-first policy, migrated 2,900+ applications, and increased online services available to Arizonans by 250% in two years. Operates a dedicated Office of Digital Solutions managing 200+ state agency websites and enterprise applications including Business One Stop. Earned A- overall and first place in resilience on the 2024 Center for Digital Government Digital States Survey.","funding_model":"Government","funding_detail":"AZ state general fund; Web Portal Fund; ADOA automation operations fund","named_funders":[],"website":"aset.az.gov","problem_statements":["Legacy Systems","Data Security","Operational Excellence","Service Design"],"problem_areas":["Technology & Data","Procurement & Operations","Service Delivery"],"degree":12},{"id":122,"name":"Arlington County Digital Innovation","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"County digital innovation division with 7+ year AI program. Operates virtual assistant 'Ava', enterprise data warehouse, and open-source ML tools.","funding_model":"Government","funding_detail":"County budget","named_funders":[],"website":"arlingtonva.us","problem_statements":["Data Integration","Operational Excellence","AI in Government"],"problem_areas":["Technology & Data","Procurement & Operations","Domains"],"degree":11},{"id":123,"name":"ARPA-H","primary_segment":"Government","segments":["Government","Research"],"focus":["Federal"],"description":"Funds high-risk, high-reward health research via ARPA model: empowered program managers, milestone-based funding, other transaction authority. ~$1.5B annual budget.","funding_model":"Government","funding_detail":"Congressional appropriations (HHS); multi-year carry-over","named_funders":[],"website":"arpa-h.gov","problem_statements":["Healthcare Access","Iterative Learning","Crisis Response"],"problem_areas":["Domains","Test & Learn"],"degree":8},{"id":124,"name":"Austin Office of Design & Delivery","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Municipal digital services team providing service design, user research, content strategy, and digital forms for city services.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"austintexas.gov","problem_statements":["Service Design","Benefits Access","Iterative Learning"],"problem_areas":["Service Delivery","Test & Learn"],"degree":22},{"id":125,"name":"Baltimore Digital","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Digital services team within the Baltimore Mayor's Office. Focuses on human-centered design and resident-facing digital service delivery. Confirmed active under Mayor Brandon Scott administration.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"baltimorecity.gov","problem_statements":["Service Design","Benefits Access"],"problem_areas":["Service Delivery"],"degree":17},{"id":126,"name":"BIA Indigenous Connectivity and Technology Division","primary_segment":"Government","segments":["Government"],"focus":["Federal"],"description":"Division within the Bureau of Indian Affairs Office of Trust Services providing technical assistance to Tribal Nations on broadband, electromagnetic spectrum leasing, wireless services, and digital capacity on tribal lands. Established 2022-2023 to give Tribal Nations a formal seat in national connectivity policy development and support their sovereignty over digital resources and telecommunications infrastructure. Coordinates with FCC, NTIA, and Commerce Dept on tribal broadband priorities. Administers tribal components of the National Spectrum Strategy Implementation Plan. Note: created under the Biden administration; archived content as of Jan 20, 2025 - current operational status under review.","funding_model":"Government","funding_detail":"Interior Dept. appropriations; BIA budget","named_funders":[],"website":"bia.gov/bia/ots/ict","problem_statements":["Physical Infrastructure","Data Integration","Broadband & Internet Connectivity"],"problem_areas":["Domains","Technology & Data"],"degree":9},{"id":127,"name":"Boston Department of Innovation and Technology (DoIT)","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"City of Boston's enterprise technology organization serving 18,000+ city employees and hundreds of thousands of constituents. In May 2025 the Boston City Council codified DoIT into city law, granting it formal authority over citywide technology procurement, cybersecurity, and data governance. Manages BOS:311, digital services delivery, the Wicked Free Wi-Fi program, and a Digital Equity Fund. ~150 employees under Mayor Michelle Wu's Innovation and Technology Cabinet.","funding_model":"Government","funding_detail":"City of Boston budget; federal digital equity grants (MBI Partnership Grant)","named_funders":[],"website":"boston.gov/government/cabinets/innovation-and-technology","problem_statements":["Legacy Systems","Data Security","Broadband & Internet Connectivity","Service Design"],"problem_areas":["Technology & Data","Domains","Service Delivery"],"degree":9},{"id":128,"name":"California Office of Data & Innovation (ODI)","primary_segment":"Government","segments":["Capacity Building","Government"],"focus":["State"],"description":"Statewide digital services team delivering user research, content design, data analytics, and plain language guidance across CA state agencies.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"innovation.ca.gov","problem_statements":["Service Design","Benefits Access","Regulatory & Administrative Burden","Data Integration"],"problem_areas":["Service Delivery","Procurement & Operations","Technology & Data"],"degree":10},{"id":129,"name":"Chicago Department of Technology and Innovation (DTI)","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"New citywide technology department established under Mayor Brandon Johnson (est. late 2023) - a deliberate rethinking of Chicago's IT approach. CIO/Commissioner Nick Lucius confirmed by City Council 48-0 in May 2024. Lucius previously served as Chicago's chief data officer and CTO. Maintains the Chicago Design System and coordinates technology across all city departments under a unified strategy focused on reducing operational complexity and improving resident-facing digital service delivery.","funding_model":"Government","funding_detail":"City of Chicago budget appropriations","named_funders":[],"website":"chicago.gov/city/en/depts/dti.html","problem_statements":["Legacy Systems","Operational Excellence","Service Design","AI in Government"],"problem_areas":["Technology & Data","Procurement & Operations","Service Delivery","Domains"],"degree":13},{"id":130,"name":"City and County of Denver - Peak Academy & Technology Services","primary_segment":"Government","segments":["Capacity Building","Government"],"focus":["City"],"description":"Denver leads in two distinct dimensions of city capacity. Denver Peak Academy (within the Budget & Management Office) has trained 11,000+ Denver employees and participants from 350+ governments in lean process improvement since 2012, saving the city $75M+. Alongside it, the Office of Information Technology (OIT) drives digital modernization including an Automation Center of Excellence that won Colorado Technology Association's 2024 Apex Project of the Year and saved $2.9M and 54,000 staff hours. OIT recently created separate CDO and CISO roles under CIO Suma Nallapati.","funding_model":"Government","funding_detail":"City and County of Denver general fund","named_funders":[],"website":"denvergov.org/Government/Agencies-Departments-Offices/Agencies-Departments-Offices-Directory/Department-of-Finance/Our-Divisions/Budget-and-Management-Office/Peak-Performance","problem_statements":["Operational Excellence","Iterative Learning","Scaling What Works","Feedback Loops"],"problem_areas":["Procurement & Operations","Test & Learn"],"degree":8},{"id":131,"name":"CMS Digital Service (DSAC)","primary_segment":"Government","segments":["Government"],"focus":["Federal"],"description":"Digital services team within the Centers for Medicare and Medicaid Services. Responsible for healthcare.gov recovery, 988 Suicide and Crisis Lifeline, and the first federal open source program office (OSPO). One of the most impactful federal digital service teams.","funding_model":"Government","funding_detail":"Federal appropriations (HHS/CMS)","named_funders":[],"website":"cms.gov","problem_statements":["Healthcare Access","Benefits Access","Legacy Systems","Service Design","AI in Government"],"problem_areas":["Domains","Service Delivery","Technology & Data"],"degree":12},{"id":132,"name":"CODE PA","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"State digital delivery team (~50 staff) created 2023 under Gov. Shapiro. Delivers human-centered design, accessibility, and digital service improvements across PA agencies.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"code.pa.gov","problem_statements":["Service Design","Benefits Access","Iterative Learning"],"problem_areas":["Service Delivery","Test & Learn"],"degree":16},{"id":133,"name":"Colorado Digital Service","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"State digital team founded by USDS alumni. Enterprise approach to modernizing resident experience using agile, user research, and product management.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"colorado.gov/digitalservice","problem_statements":["Procurement Reform","Benefits Access","Service Design","Iterative Learning"],"problem_areas":["Procurement & Operations","Service Delivery","Test & Learn"],"degree":11},{"id":134,"name":"Connecticut Digital Government Team","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"State digital services team within Connecticut Department of Administrative Services. Operational since 2019 with 21-25 FTE.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"portal.ct.gov","problem_statements":["Data Security","Broadband & Internet Connectivity","Service Design"],"problem_areas":["Technology & Data","Domains","Service Delivery"],"degree":9},{"id":135,"name":"Delaware Government Information Center","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Delaware central digital services and government information team, operational since 2001. Manages state web properties, open data, and digital service delivery. Verified active with 11-15 FTE.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"gic.delaware.gov","problem_statements":["Transparency & Accountability","Data Integration","Service Design"],"problem_areas":["Participatory Democracy","Technology & Data","Service Delivery"],"degree":17},{"id":136,"name":"Federal Student Aid Digital Services","primary_segment":"Government","segments":["Government"],"focus":["Federal"],"description":"Digital service team within Federal Student Aid (FSA), established 2024 under FSA OCTO. Focused on modernizing federal student aid technology and improving applicant experience for 40 million+ borrowers.","funding_model":"Government","funding_detail":"Federal appropriations (Dept. of Education)","named_funders":[],"website":"studentaid.gov","problem_statements":["Benefits Access","Legacy Systems","Service Design"],"problem_areas":["Service Delivery","Technology & Data"],"degree":13},{"id":137,"name":"Franklin County GX Foundry","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Digital services and government experience team for Franklin County, Ohio (Columbus metro). Verified active with 16-20 FTE and 2 million budget.","funding_model":"Government","funding_detail":"County budget","named_funders":[],"website":"franklincountyohio.gov","problem_statements":["Operational Excellence","Service Design"],"problem_areas":["Procurement & Operations","Service Delivery"],"degree":9},{"id":138,"name":"Georgia Digital Services and Solutions","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Digital services team within the Georgia Technology Authority (GTA) managing state web infrastructure, UX, and accessibility (GovHub platform). Distinct from the Georgia Office of Artificial Intelligence, also a GTA sub-program focused on AI governance.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"digital.georgia.gov","problem_statements":["Legacy Systems","Transparency & Accountability","Service Design"],"problem_areas":["Technology & Data","Participatory Democracy","Service Delivery"],"degree":10},{"id":139,"name":"Georgia Office of Artificial Intelligence","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Dedicated state AI office. Published AI Roadmap and Governance Framework. $15M additional for cybersecurity/AI. Cloud-first initiative with AI integration.","funding_model":"Government","funding_detail":"State fund + $15M additional appropriation","named_funders":[],"website":"gta.georgia.gov","problem_statements":["AI in Government","Data Security","Procurement Reform"],"problem_areas":["Domains","Technology & Data","Procurement & Operations"],"degree":11},{"id":140,"name":"Gilbert, AZ Office of Digital Government","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"City digital government office delivering social media strategy, open data, civic engagement, and digital innovation. Nationally recognized.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"gilbertaz.gov","problem_statements":["Civic Engagement","Transparency & Accountability","Service Design"],"problem_areas":["Participatory Democracy","Service Delivery"],"degree":8},{"id":141,"name":"Hennepin County Digital Experience (DX)","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Digital services and experience team for Hennepin County, Minnesota (Minneapolis metro). Verified active with 21-25 FTE. One of the largest county-level digital service teams in the US.","funding_model":"Government","funding_detail":"County budget","named_funders":[],"website":"hennepin.us","problem_statements":["Benefits Access","Data Integration","Service Design"],"problem_areas":["Service Delivery","Technology & Data"],"degree":13},{"id":142,"name":"House Digital Service (HDS)","primary_segment":"Government","segments":["Government"],"focus":["Federal"],"description":"Digital service team for the US House of Representatives, established 2019. Serves the legislative branch, distinct from executive branch digital service teams.","funding_model":"Government","funding_detail":"Congressional appropriations","named_funders":[],"website":"house.gov","problem_statements":["Reaction Time","Transparency & Accountability","Legacy Systems"],"problem_areas":["Procurement & Operations","Participatory Democracy","Technology & Data"],"degree":12},{"id":143,"name":"Illinois Department of Innovation & Technology (DoIT)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"State enterprise IT agency created by statute in 2018, serving 36 client agencies directly and 90+ government entities statewide including high-speed broadband to 610 school districts. Led by State CIO/Secretary Sanjay Gupta (former USDOJ and SBA CIO; Senate-confirmed 2024). Key 2024-25 initiatives include enterprise AI governance, benefits modernization for SNAP and Medicaid, digital driver's licenses via Apple Wallet, and a new Central Computing Facility replacing 1970s-era legacy data center infrastructure.","funding_model":"Government","funding_detail":"IL state general fund","named_funders":[],"website":"doit.illinois.gov","problem_statements":["Legacy Systems","Data Security","Benefits Access","AI in Government","Broadband & Internet Connectivity"],"problem_areas":["Technology & Data","Service Delivery","Domains"],"degree":11},{"id":144,"name":"InnovateOhio Platform (Ohio Office of Information Technology)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Ohio's enterprise digital modernization initiative within the Department of Administrative Services' Office of Information Technology, led by State CIO Katrina Flory (GovTech Top 25 2024). Delivers OH|ID statewide single sign-on (used by nearly half of all Ohioans), data analytics, fraud detection, and a new content management system across hundreds of agency websites and apps. Added digital driver's licenses to Apple Wallet in 2024. Received NASCIO State IT Recognition Award for cybersecurity excellence in 2025.","funding_model":"Government","funding_detail":"OH state general fund","named_funders":[],"website":"innovation.ohio.gov","problem_statements":["Service Design","Benefits Access","Data Integration","Legacy Systems"],"problem_areas":["Service Delivery","Technology & Data"],"degree":9},{"id":145,"name":"Lebanon, NH","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Small city with dedicated Chief Innovation & AI Officer. AI policy, procurement, training. Serves on NH AI Task Force.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"lebanonnh.gov","problem_statements":["AI in Government","Procurement Reform","Workforce Development"],"problem_areas":["Domains","Procurement & Operations","Talent & Hiring"],"degree":10},{"id":146,"name":"Los Angeles Information Technology Agency (ITA)","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"City of LA's enterprise technology department - 442 IT professionals across 18 divisions delivering 366 services on a $90M annual operating budget. Led by General Manager and CIO Ted Ross. Ranked #1 Digital City nationally in 2023 and #2 in 2024 by the Center for Digital Government. Published Los Angeles A.I. Roadmap (June 2024) and 2024-2025 Strategic Plan focused on digital transformation, AI governance, and smart city infrastructure for the 2026 World Cup, 2027 Super Bowl, and 2028 Olympics.","funding_model":"Government","funding_detail":"City of LA general fund; operating + capital budget appropriations","named_funders":[],"website":"ita.lacity.gov","problem_statements":["Legacy Systems","Operational Excellence","AI in Government","Data Security"],"problem_areas":["Technology & Data","Procurement & Operations","Domains"],"degree":15},{"id":147,"name":"Maryland Digital Service & Office of AI Enablement","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Digital service and AI delivery arm of the Maryland Department of Information Technology (DoIT) operating under Gov. Wes Moore's executive modernization mandate. Launched a bilingual AI chatbot (Claude Sonnet) serving 600K+ residents for SUN Bucks food benefits. Co-leading a landmark multi-agency AI partnership with Anthropic and Percepta - backed by Rockefeller Foundation - to modernize benefits delivery, environmental permitting, and housing access. Published 2025 AI Enablement Strategy and AI Study Roadmap covering 12 critical domains.","funding_model":"Government","funding_detail":"MD state general fund; Anthropic/Percepta partnership; Rockefeller Foundation support","named_funders":["Rockefeller Foundation"],"website":"doit.maryland.gov","problem_statements":["Service Design","AI in Government","Benefits Access"],"problem_areas":["Service Delivery","Domains"],"degree":10},{"id":148,"name":"Massachusetts Digital Service (Mass Digital)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"State digital service team within the Executive Office of Technology Services & Security (EOTSS). Implements the Commonwealth Digital Roadmap - a multi-year plan for accessible people-centered digital experiences across all MA agencies. Built MyMassGov single sign-on (1.5M+ users) and the 'Ask MA' multilingual chatbot (700K+ monthly users); announced deployment of ChatGPT to all 40K executive branch employees in 2026. Authorized by Gov. Healey's FutureTech Act of 2024 ($110M bond authorization). Ranked #1 in the nation by the Center for Digital Government's GovX Awards in 2024.","funding_model":"Government","funding_detail":"MA state general fund + $110M FutureTech Act bond authorization","named_funders":[],"website":"mass.gov/orgs/massachusetts-digital-service","problem_statements":["Legacy Systems","Benefits Access","Service Design","AI in Government"],"problem_areas":["Technology & Data","Service Delivery","Domains"],"degree":10},{"id":149,"name":"Minnesota IT Services (MNIT)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Enterprise IT agency for Minnesota's executive branch serving 70+ agencies, 375+ partners, and 87 counties. Active transformation program: launched LoginMN (centralized single sign-on), hired the state's first AI Director, deployed $13.1M through the Technology Modernization Fund in 2024, and migrated 50%+ of servers to cloud. Published 2024 and 2025 annual impact reports documenting 33+ new or enhanced self-service tools. The Technology Advisory Council (TAC) provides cross-sector governance guidance on AI, customer experience, and product-driven IT delivery.","funding_model":"Government","funding_detail":"State IT enterprise fund (chargeback model) + MN general fund appropriations","named_funders":[],"website":"mn.gov/mnit","problem_statements":["Legacy Systems","Data Integration","Data Security","AI in Government"],"problem_areas":["Technology & Data","Domains"],"degree":10},{"id":150,"name":"New Hampshire Department of Information Technology (DoIT)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Centralized state IT agency led by Commissioner/CIO Denis Goulet (NASCIO Decade of Leadership Award 2025; NASCIO President 2020) - one of the few CIOs to serve across three governors. Redesigned all state websites and apps for constituent usability; launched a statewide business portal; built the VINI vaccine registration system during COVID-19; and launched '.Gov In a Box' providing funding and contractor support to help local governments migrate to .gov domains. Pursuing whole-of-state cybersecurity and agile/MVP methodologies with agency partners.","funding_model":"Government","funding_detail":"NH state general fund + federal SLCGP cybersecurity grants","named_funders":[],"website":"nh.gov/doit","problem_statements":["Legacy Systems","Data Security","Operational Excellence","Service Design","AI in Government"],"problem_areas":["Technology & Data","Procurement & Operations","Service Delivery","Domains"],"degree":10},{"id":151,"name":"New Jersey Office of Innovation","primary_segment":"Government","segments":["Capacity Building","Government"],"focus":["State"],"description":"State innovation office (~50+ staff) building digital products (Business.NJ.gov, NJ AI Assistant) and providing product management, human-centered design, and data science to NJ agencies.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"innovation.nj.gov","problem_statements":["Service Design","AI in Government","Benefits Access"],"problem_areas":["Service Delivery","Domains"],"degree":11},{"id":152,"name":"New York State (ITS)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"NY Office of Information Technology Services. Among 17+ states with official digital service teams per Beeck Center. Partnership with InnovateUS rolling out AI to 100K+ city employees.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"its.ny.gov","problem_statements":["Legacy Systems","Data Security","AI in Government"],"problem_areas":["Technology & Data","Domains"],"degree":9},{"id":153,"name":"North Carolina Digital Solutions","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"State digital services team within NC Department of Information Technology, operational since 2015.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"it.nc.gov","problem_statements":["Legacy Systems","Service Design"],"problem_areas":["Technology & Data","Service Delivery"],"degree":20},{"id":154,"name":"NYC Office of Technology and Innovation (OTI)","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"New York City's consolidated technology agency formed in 2022 by merging DoITT, the Mayor's Office of the CTO, NYC Cyber Command, the Mayor's Office of Data Analytics, and the Mayor's Office of Information Privacy. Led by CTO Lisa Gelobter (2026). Employs ~1,200 staff with an operating budget of ~$350M and capital budget of ~$1B. Administers NYC311 (175+ languages), leads the MyCity resident portal, manages the city's open data program (2,000+ datasets), and coordinates digital equity and broadband expansion.","funding_model":"Government","funding_detail":"NYC city budget (operating + capital appropriations)","named_funders":[],"website":"nyc.gov/content/oti/pages","problem_statements":["Data Security","Data Integration","Service Design","AI in Government","Broadband & Internet Connectivity"],"problem_areas":["Technology & Data","Service Delivery","Domains"],"degree":11},{"id":155,"name":"Orlando Digital Innovation and Service Design Team","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Digital innovation and service design team within the City of Orlando IT department, operational since 2018. Verified active.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"orlando.gov","problem_statements":["Operational Excellence","Service Design"],"problem_areas":["Procurement & Operations","Service Delivery"],"degree":18},{"id":156,"name":"Philadelphia Digital Services","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"City digital team providing UX research, content strategy, and digital form development using USWDS.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"phila.gov","problem_statements":["Benefits Access","Service Design"],"problem_areas":["Service Delivery"],"degree":17},{"id":157,"name":"Portland Digital Services (BTS)","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Digital services team delivering human-centered design and plain language improvements. Won 2025 USDR Innovation in Constraints award.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"portland.gov/digital-services","problem_statements":["Regulatory & Administrative Burden","Service Design"],"problem_areas":["Procurement & Operations","Service Delivery"],"degree":12},{"id":158,"name":"Presidential Innovation Fellows (PIF)","primary_segment":"Government","segments":["Fellowships","Government"],"focus":["Federal"],"description":"Embeds mid-to-senior technologists (GS-15) in federal agencies for 12-month tours providing product management, AI strategy, design, and engineering advisory. 260+ alumni.","funding_model":"Government","funding_detail":"GSA/TTS appropriations","named_funders":[],"website":"presidentialinnovationfellows.gov","problem_statements":["Expert Contribution","AI in Government","Procurement Reform","Talent Pipeline"],"problem_areas":["Talent & Hiring","Domains","Procurement & Operations"],"degree":10},{"id":159,"name":"Rhode Island Enterprise Technology Strategy and Services (ETSS)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Rhode Island enterprise technology and digital services team. Active 2024-2026 strategic plan.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"etss.ri.gov","problem_statements":["Legacy Systems","Benefits Access","Service Design"],"problem_areas":["Technology & Data","Service Delivery"],"degree":19},{"id":160,"name":"San Diego Digital Experience Team","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Digital experience team for the County of San Diego. Verified active with 1-5 FTE and 1 million budget.","funding_model":"Government","funding_detail":"County budget","named_funders":[],"website":"sandiegocounty.gov","problem_statements":["Operational Excellence","Service Design"],"problem_areas":["Procurement & Operations","Service Delivery"],"degree":10},{"id":161,"name":"San Francisco Digital and Data Services (DDS)","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Human-centered digital service team within the City Administrator's office. Manages SF.gov - the unified city web platform with 80+ departments migrated - applying equitable design standards, plain language requirements, and the City's Language Access Ordinance. Launched an Emerging Technologies team in November 2024 that piloted ChatGPT Enterprise with OpenAI and deployed Microsoft Copilot Chat to 30,000 city staff, establishing SF as a national leader in public sector AI adoption.","funding_model":"Government","funding_detail":"City and County of San Francisco budget; COIT Major IT Project Allocation","named_funders":[],"website":"sf.gov/departments--city-administrator--digital-and-data-services","problem_statements":["Transparency & Accountability","Regulatory & Administrative Burden","AI in Government","Service Design"],"problem_areas":["Participatory Democracy","Procurement & Operations","Domains","Service Delivery"],"degree":10},{"id":162,"name":"San Jose Innovation & IT","primary_segment":"Government","segments":["Government","Research"],"focus":["City"],"description":"City innovation team running data governance, AI strategy development, and employee upskilling. Leads GovAI coalition.","funding_model":"Government","funding_detail":"City budget + Knight Foundation partnership","named_funders":["Knight Foundation"],"website":"sanjoseca.gov","problem_statements":["Data Integration","Operational Excellence","AI in Government"],"problem_areas":["Technology & Data","Procurement & Operations","Domains"],"degree":10},{"id":163,"name":"Seattle Information Technology (Seattle IT)","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"City of Seattle's enterprise technology department led by CTO appointed 2024. Employs 633+ staff with an operating budget of ~$280M. Published 2025-2027 Strategic Plan anchoring technology to public safety, housing, health, and economic opportunity. Launched Eproval (modern permitting platform), the One Seattle Data Strategy (city's first comprehensive data governance plan), and CiviformX (one-stop portal for affordability programs). Longstanding digital equity program including Technology Matching Fund grants spanning 30+ years.","funding_model":"Government","funding_detail":"City of Seattle general fund + capital budget","named_funders":[],"website":"seattle.gov/tech","problem_statements":["Legacy Systems","Data Security","Permitting & Licensing","Service Design"],"problem_areas":["Technology & Data","Domains","Service Delivery"],"degree":9},{"id":164,"name":"South Bend Division of Digital Services","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Digital services team for the City of South Bend, Indiana. Established 2024. Verified active.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"southbendin.gov","problem_statements":["Feedback Loops","Service Design"],"problem_areas":["Test & Learn","Service Delivery"],"degree":9},{"id":165,"name":"Syracuse Digital Services Division","primary_segment":"Government","segments":["Government"],"focus":["City"],"description":"Digital services division for the City of Syracuse, New York. Established 2022 with 6-10 FTE.","funding_model":"Government","funding_detail":"City budget","named_funders":[],"website":"syrgov.net","problem_statements":["Transparency & Accountability","Benefits Access","Service Design"],"problem_areas":["Participatory Democracy","Service Delivery"],"degree":12},{"id":166,"name":"Technology Modernization Fund (TMF)","primary_segment":"Government","segments":["Government"],"focus":["Federal"],"description":"Federal revolving fund (est. 2017, Modernizing Government Technology Act) providing incremental financing and technical assistance to federal agencies for IT modernization. Administered by GSA through the TMF Program Management Office; overseen by the Technology Modernization Board of federal IT executives. Milestone-based funding transfers unlock as agencies complete project phases. 80%+ success rate vs. 13% for traditionally-funded federal IT projects. Reauthorized through September 30, 2026. Has funded 80+ projects including benefits modernization, customer experience, and AI integration.","funding_model":"Government","funding_detail":"Congressional appropriations; agencies repay awards from savings and efficiencies generated","named_funders":[],"website":"tmf.cio.gov","problem_statements":["Legacy Systems","AI in Government","Shared Platforms","Data Security"],"problem_areas":["Technology & Data","Procurement & Operations","Domains"],"degree":10},{"id":167,"name":"The Lab at OPM","primary_segment":"Government","segments":["Government"],"focus":["Federal"],"description":"Defunct April 2025. Innovation lab within the US Office of Personnel Management that pioneered human-centered design in federal government from 2012 to 2025. Conducted design research and built HCD capacity across federal agencies over 13 years of service.","funding_model":"Government (defunct)","funding_detail":"Federal appropriations (OPM); closed April 2025","named_funders":[],"website":"opm.gov","problem_statements":["Hiring Process","Hiring Architecture","Service Design"],"problem_areas":["Talent & Hiring","Service Delivery"],"degree":9},{"id":168,"name":"U.S. Digital Corps","primary_segment":"Government","segments":["Fellowships","Government"],"focus":["Federal"],"description":"Two-year early-career federal fellowship in software engineering, data science, product, design, and cybersecurity. 150+ fellows; 95% convert to career positions.","funding_model":"Government","funding_detail":"GSA/TTS appropriations","named_funders":[],"website":"digitalcorps.gsa.gov","problem_statements":["Talent Pipeline","AI in Government","Hiring Process","Hiring Architecture","Data Security"],"problem_areas":["Talent & Hiring","Domains","Technology & Data"],"degree":9},{"id":169,"name":"U.S. DOGE Service (fmr. USDS)","primary_segment":"Government","segments":["Government"],"focus":["Federal"],"description":"Renamed from U.S. Digital Service; reorganized under DOGE. ~20 legacy staff from 200+. Runs software modernization projects; original user-centered digital delivery mission shifted. Temp org expires Jul 4 2026.","funding_model":"Government","funding_detail":"Congressional appropriations (EOP); FY26 request $45M/150 staff","named_funders":[],"website":"usds.gov","problem_statements":["Operational Excellence","Regulatory & Administrative Burden","Legacy Systems"],"problem_areas":["Procurement & Operations","Technology & Data"],"degree":8},{"id":170,"name":"U.S. Tech Force (OPM)","primary_segment":"Government","segments":["Fellowships","Government"],"focus":["Federal"],"description":"Cross-agency technology hiring initiative launched Dec 2025 by OPM. Targeting 1,000 fellows in AI, cybersecurity, data science, and software engineering placed at federal agencies for 2-year stints. Private sector partners include Microsoft, Google, Meta, Palantir, Oracle, OpenAI, and 20+ others. NobleReach Foundation is founding nonprofit partner. Targeting first cohort by March 2026.","funding_model":"Government","funding_detail":"Federal agency appropriations; centrally administered by OPM","named_funders":[],"website":"opm.gov","problem_statements":["Talent Pipeline","Hiring Architecture","AI in Government","Data Security"],"problem_areas":["Talent & Hiring","Domains","Technology & Data"],"degree":8},{"id":171,"name":"Utah Digital Government","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Pioneer in digital government. Digital ID adopted by 40K in 3 months. Personalized citizen portal across agencies. Cybersecurity support to 100+ local entities.","funding_model":"Government","funding_detail":"UT state + federal cyber grants","named_funders":[],"website":"utah.gov","problem_statements":["Data Security","Service Design","Benefits Access","Legacy Systems"],"problem_areas":["Technology & Data","Service Delivery"],"degree":14},{"id":172,"name":"Vermont Agency of Digital Services","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Vermont statewide digital services agency. Active 2024 strategic plan.","funding_model":"Government","funding_detail":"State general fund","named_funders":[],"website":"digitalservices.vermont.gov","problem_statements":["Legacy Systems","Service Design"],"problem_areas":["Technology & Data","Service Delivery"],"degree":14},{"id":173,"name":"Washington Technology Solutions (WaTech)","primary_segment":"Government","segments":["Government"],"focus":["State"],"description":"Washington State's central IT agency leading the Digital Experience program including a Resident Portal roadmap for unified digital access across agencies, an AI Community of Practice, the state's first-ever Enterprise Privacy and Data Protection Policy, and AI Procurement Guidelines for legislative decision-making. Developed 16 new government websites in 2024. Published 2024-2026 strategic plan; new CTO Gretchen Peri appointed September 2025.","funding_model":"Government","funding_detail":"WA state general fund + federal State and Local Cybersecurity Grant Program funds","named_funders":[],"website":"watech.wa.gov","problem_statements":["Data Integration","Data Security","AI in Government","Service Design"],"problem_areas":["Technology & Data","Domains","Service Delivery"],"degree":12},{"id":174,"name":"120Water","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"Platform helping municipalities manage water safety testing, lead service line inventories, and EPA compliance. Sells directly to water utilities and government agencies. Over 1,300 communities served across 45+ states. $57M total raised; $43M Series B in January 2024 led by Edison Partners. Strong regulatory tailwind from EPA Lead and Copper Rule Improvements (LCRI) compliance requirements.","funding_model":"VC-backed; Growth stage","funding_detail":"$57.6M total raised; $43M Series B (Jan 2024) led by Edison Partners; 1,300+ communities served","named_funders":[],"website":"120water.com","problem_statements":["Physical Infrastructure","Public Health","Data Integration","Regulatory & Administrative Burden"],"problem_areas":["Domains","Technology & Data","Procurement & Operations"],"degree":9},{"id":175,"name":"Binti","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Software for child welfare agencies managing foster care approvals, placements, and adoptions. Reduces paperwork and accelerates family matching. Sells directly to county and state child welfare departments.","funding_model":"VC-backed; Growth stage","funding_detail":"Y Combinator (W17) + follow-on; $27M+ total raised","named_funders":[],"website":"binti.com","problem_statements":["Child Welfare","Service Design","Legacy Systems","Operational Excellence","Benefits Access"],"problem_areas":["Domains","Service Delivery","Technology & Data","Procurement & Operations"],"degree":11},{"id":176,"name":"Biobot Analytics","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"Wastewater epidemiology platform helping government public health agencies monitor disease prevalence at population level. MIT-origin. Contracts with CDC and local health departments.","funding_model":"VC-backed; Growth stage","funding_detail":"Y Combinator + $20M Series A (2022); $30M+ total raised; CDC contracts","named_funders":[],"website":"biobot.io","problem_statements":["Public Health","Crisis Response","Outcomes Measurement","Data Integration"],"problem_areas":["Domains","Test & Learn","Technology & Data"],"degree":14},{"id":177,"name":"Bloom Housing (Exygy)","primary_segment":"GovTech","segments":["Digital Services & Consulting","GovTech"],"focus":["State","City"],"description":"Open-source affordable housing portal platform built and stewarded by Exygy (Certified B Corp). Government housing agencies -- city, county, and regional housing authorities -- are the primary customers. Products include DAHLIA (SF Mayor's Office of Housing), Doorway (Bay Area Housing Finance Authority, 9-county region), and deployments for housing departments across California. Streamlines lottery and application management, waitlist tracking, and demographic reporting for affordable housing programs. Generates millions per year in earned revenue from government clients.","funding_model":"Earned Revenue","funding_detail":"Government agency contracts (primary); Google.org pro bono support for specific deployments","named_funders":[],"website":"bloomhousing.com","problem_statements":["Housing & Land Use","Service Design","Transparency & Accountability","Benefits Access","Data Integration"],"problem_areas":["Domains","Service Delivery","Participatory Democracy","Technology & Data"],"degree":8},{"id":178,"name":"Cambium AI","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"Population intelligence platform that integrates Census, IRS, CDC, housing, labor, and migration datasets into statistically grounded population models. Helps government and policy teams anticipate how populations will respond to programs before rollout. No PII; verified public data only.","funding_model":"Private","funding_detail":"Private angel round","named_funders":[],"website":"cambium.ai","problem_statements":["Data Integration","Evidence Use","Outcomes Measurement"],"problem_areas":["Technology & Data","Test & Learn"],"degree":8},{"id":179,"name":"Casebook PBC","primary_segment":"GovTech","segments":["Digital Services & Consulting","GovTech"],"focus":["State","City"],"description":"Public benefit corporation (originally incubated by Annie E. Casey Foundation) building human services case management software for state and county child welfare, foster care, juvenile justice, and behavioral health agencies. Government agencies are primary customers alongside nonprofits. GovTech 100 honoree 2024. KPMG alliance for CCWIS (Comprehensive Child Welfare Information System) modernization. 350+ customers, 100,000+ service enrollments across 75,000 cases.","funding_model":"Earned Revenue","funding_detail":"SaaS subscription revenue from government agencies and nonprofits; originally incubated by Annie E. Casey Foundation","named_funders":[],"website":"casebook.net","problem_statements":["Child Welfare","Service Design","Legacy Systems","Benefits Access","Criminal Justice"],"problem_areas":["Domains","Service Delivery","Technology & Data"],"degree":8},{"id":180,"name":"Civic","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"AI-native platform for government constituent communications, casework management, and institutional knowledge. Serves congressional offices and state and local governments. Veteran-owned; seed-stage.","funding_model":"VC-backed","funding_detail":"Pre-seed $1.3M from Analog Ventures, Center City Ventures, Wharton Venture Lab, Flybridge","named_funders":[],"website":"get-civic.com","problem_statements":["AI in Government","Operational Excellence"],"problem_areas":["Technology & Data","Domains","Procurement & Operations"],"degree":11},{"id":181,"name":"Civic Roundtable","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal"],"description":"Government operations platform purpose-built for public servants. Consolidates communication, document management, CRM, and AI-assisted knowledge retrieval for interagency coordination. Used by 4,000+ organizations across all 50 states. Fast Company Most Innovative Company 2025. Founded 2022, backed by General Catalyst.","funding_model":"Private","funding_detail":"General Catalyst (5M seed, 2024)","named_funders":[],"website":"civicroundtable.com","problem_statements":["AI in Government","Operational Excellence","Data Integration"],"problem_areas":["Domains","Procurement & Operations","Technology & Data"],"degree":13},{"id":182,"name":"CivicReach","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"AI-powered government customer service platform automating resident inquiries and improving service delivery across multiple channels.","funding_model":"VC-backed; Seed stage","funding_detail":"$310K raised; NC Tweener Fund, Flybridge, NC Idea; founded 2024","named_funders":[],"website":"civicreach.com","problem_statements":["Service Design","AI in Government","Operational Excellence","Feedback Loops"],"problem_areas":["Service Delivery","Domains","Procurement & Operations","Test & Learn"],"degree":10},{"id":183,"name":"CiviForm","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Open-source unified benefits application platform built by and for governments. Developed by the City of Seattle with Google.org Fellows and Exygy during the pandemic; now adopted by Seattle, Charlotte NC, Bloomington IN, the State of Arkansas, and Miami-Dade County. Lets residents reuse their information to apply for multiple benefit programs at once, cutting average application time from 30 to 7 minutes. Governments use a no-code interface to author and manage program applications without vendor dependency - the codebase is collectively owned and governed by the adopting governments. Named Time Magazine Best Inventions of 2025. 50,000+ applications processed in Seattle alone. Stewarded by Exygy (Certified B Corp) with Google.org grant funding.","funding_model":"Philanthropy","funding_detail":"Google.org grant funding to Exygy; free and open-source for adopting governments; Seed/Early stage","named_funders":[],"website":"civiform.us","problem_statements":["Service Design","Benefits Access","Transparency & Accountability","Scaling What Works","Shared Platforms"],"problem_areas":["Service Delivery","Participatory Democracy","Test & Learn","Technology & Data"],"degree":8},{"id":184,"name":"Cyvl.ai","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Vehicle-mounted sensors and AI software enabling governments to monitor and manage physical infrastructure. Transforms any vehicle into a data collection platform for road conditions, signage, and urban planning. Sells to DOTs and municipal public works departments.","funding_model":"VC-backed; Early stage","funding_detail":"$9.2M total raised; $6M round (Mar 2024) led by Companyon Ventures; DOT and municipal clients","named_funders":[],"website":"cyvl.ai","problem_statements":["Physical Infrastructure","AI in Government","Data Integration","Operational Excellence","Outcomes Measurement"],"problem_areas":["Domains","Technology & Data","Procurement & Operations","Test & Learn"],"degree":15},{"id":185,"name":"Daupler","primary_segment":"GovTech","segments":["GovTech"],"focus":["City"],"description":"Response management platform for public works and utility departments replacing clipboard-based workflows with digital dispatch and field operations tools. Mobile-first interface for managing service requests and work orders. One of the fastest-growing govtech companies by traffic and employment growth (2023-2025).","funding_model":"VC-backed; Early stage","funding_detail":"Undisclosed early-stage funding; high growth trajectory 2023-2025","named_funders":[],"website":"daupler.com","problem_statements":["Physical Infrastructure","Crisis Response","Operational Excellence","Legacy Systems"],"problem_areas":["Domains","Procurement & Operations","Technology & Data"],"degree":12},{"id":186,"name":"Democracy Works","primary_segment":"GovTech","segments":["Advocacy","GovTech"],"focus":["Federal","State","City"],"description":"Nonprofit building voting technology for election officials and voters. Voting Information Project (VIP) gives election offices a free platform to share official voting location and ballot data with voters through Google Civic API and major platforms. 40+ state and DC partners.","funding_model":"Philanthropy","funding_detail":"Ford Foundation, Knight Foundation, Democracy Fund; philanthropic grants","named_funders":["Democracy Fund","Ford Foundation","Knight Foundation"],"website":"democracy.works","problem_statements":["Democracy Infrastructure","Civic Engagement"],"problem_areas":["Participatory Democracy"],"degree":8},{"id":187,"name":"Digital Public Works","primary_segment":"GovTech","segments":["GovTech"],"focus":["State"],"description":"Nonprofit GovTech founded by former USDS staff. First product: consent-based income verification tool for state benefits systems, allowing applicants to share payroll data directly with state agencies via a click-through interface. Model reduces cost to states as usage scales. Government agencies are the primary customer.","funding_model":"Government Contracts, Philanthropy","funding_detail":"Government agency contracts; foundation grants","named_funders":[],"website":"digitalpublicworks.org","problem_statements":["Procurement Reform","Scaling What Works","Transparency & Accountability","Shared Platforms","Benefits Access"],"problem_areas":["Procurement & Operations","Test & Learn","Participatory Democracy","Technology & Data","Service Delivery"],"degree":8},{"id":188,"name":"GovWell","primary_segment":"GovTech","segments":["GovTech"],"focus":["City"],"description":"Software for streamlining government permitting, licensing, and code enforcement processes. Unlike PermitFlow (which sells to contractors), GovWell sells directly to local government agencies including building departments, planning/zoning, fire, and public works.","funding_model":"VC-backed; Seed stage","funding_detail":"$6.5M total raised; seed round (2024) from Work-Bench, Bienville Capital, Fractal Software; 30+ states","named_funders":[],"website":"govwell.com","problem_statements":["Permitting & Licensing","Service Design","Legacy Systems","Housing & Land Use","Regulatory & Administrative Burden"],"problem_areas":["Domains","Service Delivery","Technology & Data","Procurement & Operations"],"degree":10},{"id":189,"name":"Holly","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"AI-powered platform modernizing government hiring. Automates job description creation with 45,000+ templates, provides real-time salary benchmarking, and reduces government hiring cycles that average 135 days. Addresses ~1M vacant government positions nationwide.","funding_model":"VC-backed; Early stage","funding_detail":"J2 Ventures + early-stage investors; undisclosed total; 45,000+ job description templates","named_funders":[],"website":"holly.co","problem_statements":["Hiring Process","Hiring Architecture","Talent Pipeline","Operational Excellence"],"problem_areas":["Talent & Hiring","Procurement & Operations"],"degree":8},{"id":190,"name":"Marketplace.city","primary_segment":"GovTech","segments":["GovTech"],"focus":["City"],"description":"Digital marketplace platform helping state and local governments source, validate, and procure technology solutions. Government procurement offices are the primary customer.","funding_model":"Private","funding_detail":"VC-backed (seed stage)","named_funders":[],"website":"marketplace.city","problem_statements":["Procurement Reform","Scaling What Works","Operational Excellence"],"problem_areas":["Procurement & Operations","Test & Learn"],"degree":12},{"id":191,"name":"PayIt","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Digital payment and services platform enabling residents to transact with government (DMV, property tax, utilities) via mobile. Revenue model based on transaction fees, often at no cost to the agency. $223M+ raised across 8 rounds; GovTech 100 honoree 7 years running. Serves 100M+ residents in North America. Acquired Sovereign Sportsman Solutions in 2023 to add outdoor recreation licensing.","funding_model":"VC-backed; Mature stage","funding_detail":"Insight Partners, Weatherford Capital; $190M+ total raised; transaction fee model","named_funders":[],"website":"payit.com","problem_statements":["Service Design","Tax & Revenue","Benefits Access","Permitting & Licensing","Operational Excellence"],"problem_areas":["Service Delivery","Domains","Procurement & Operations"],"degree":14},{"id":192,"name":"Peregrine Technologies","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Real-time data intelligence platform for public safety and government agencies, enabling state and local governments to unify siloed data for decision-making across law enforcement, emergency response, fraud detection, and health services. Serves agencies protecting 80M+ Americans. Tripled revenue each of the prior three years. High-profile deployments include coordinating multi-agency operations at Super Bowl LIX. Passes capacity test: gives government agencies better real-time intelligence to make decisions - does not replace government personnel.","funding_model":"VC-backed; Growth stage","funding_detail":"$220M total raised; $190M Series C (Mar 2025) led by Sequoia Capital at $2.5B valuation; prior $30M Series B (May 2024)","named_funders":[],"website":"peregrine.io","problem_statements":["Criminal Justice","AI in Government","Data Integration","Operational Excellence","Crisis Response"],"problem_areas":["Domains","Technology & Data","Procurement & Operations"],"degree":11},{"id":193,"name":"Polco","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Community engagement and survey platform built for local government. Powers the National Community Survey (NCS) used by 600+ jurisdictions. Provides benchmarking data, resident polling, and budget simulation tools for city managers and elected officials.","funding_model":"VC-backed; Growth stage","funding_detail":"National Research Center merger; $15M+ raised; 600+ jurisdictions using National Community Survey","named_funders":[],"website":"polco.us","problem_statements":["Civic Engagement","Feedback Loops","Outcomes Measurement","Evidence Use","Scaling What Works"],"problem_areas":["Participatory Democracy","Test & Learn"],"degree":8},{"id":194,"name":"Polimorphic","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"AI platform for government service delivery, covering resident intake through resolution. Products include AI Front Desk (24/7 multilingual constituent service in 75+ languages), Constituent Relationship Manager, and Analytics. $28M raised total; $18.6M Series A led by General Catalyst (July 2025). Serves cities and counties across key US states; 55,000+ working hours saved for government clients.","funding_model":"Private","funding_detail":"VC-backed; $28M total raised including $18.6M Series A led by General Catalyst (2025); M13 and Shine also investors","named_funders":[],"website":"polimorphic.ai","problem_statements":["Service Design","AI in Government","Operational Excellence","Feedback Loops","Benefits Access"],"problem_areas":["Service Delivery","Domains","Procurement & Operations","Test & Learn"],"degree":11},{"id":195,"name":"Promise","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Modernizes government payment and collections systems, helping agencies recover revenue while giving residents flexible, humane payment options. Sells directly to government billing departments.","funding_model":"VC-backed; Growth stage","funding_detail":"Y Combinator (S19) + follow-on; $30M+ total raised; government payment modernization","named_funders":[],"website":"promise-pay.com","problem_statements":["Criminal Justice","Operational Excellence","Service Design","Tax & Revenue","Benefits Access"],"problem_areas":["Domains","Procurement & Operations","Service Delivery"],"degree":10},{"id":196,"name":"Propel","primary_segment":"GovTech","segments":["GovTech"],"focus":["State"],"description":"Digital EBT platform and partner to state agencies.","funding_model":"VC-backed; Growth stage","funding_detail":"$50 million in a Series B funding round in 2022, 50$M ARR","named_funders":[],"website":"https://www.propel.app/","problem_statements":["Service Design","Benefits Access","AI in Government"],"problem_areas":["Service Delivery","Technology & Data","Domains"],"degree":11},{"id":197,"name":"Recidiviz","primary_segment":"GovTech","segments":["GovTech"],"focus":["State"],"description":"Data and technology platform for corrections agencies. Products include supervision tools, caseload management, and data infrastructure for state departments of corrections. Government is the primary paying customer.","funding_model":"Grants, Government Contracts","funding_detail":"Arnold Ventures, Schmidt Futures; state agency contracts","named_funders":["Arnold Ventures","Schmidt Futures"],"website":"recidiviz.org","problem_statements":["Criminal Justice","Data Integration","Outcomes Measurement","AI in Government","Operational Excellence"],"problem_areas":["Domains","Technology & Data","Test & Learn","Procurement & Operations"],"degree":14},{"id":198,"name":"SimpliGov","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"No-code workflow automation platform purpose-built for government, digitizing paper-based processes like licensing, permits, HR onboarding, and constituent requests. Clients include federal agencies and state/local governments.","funding_model":"VC-backed; Growth stage","funding_detail":"JMI Equity strategic growth investment (Jan 2025; undisclosed amount); state and local workflow automation leader","named_funders":[],"website":"simpligov.com","problem_statements":["Service Design","Regulatory & Administrative Burden","Legacy Systems","Operational Excellence","Permitting & Licensing"],"problem_areas":["Service Delivery","Procurement & Operations","Technology & Data","Domains"],"degree":9},{"id":199,"name":"Syncurrent","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"AI-powered grant discovery and pursuit platform for local and tribal governments. Reduces the time to identify, qualify, and apply for government funding from a months-long manual process to minutes. Active in 200+ governments nationally. Subscription model plus enterprise agreements for larger governments. Early stage, VC-backed.","funding_model":"Earned Revenue","funding_detail":"Subscription revenue plus enterprise agreements; VC-backed (early stage)","named_funders":[],"website":"syncurrent.com","problem_statements":["Procurement Reform","Operational Excellence","Tax & Revenue"],"problem_areas":["Procurement & Operations","Domains"],"degree":8},{"id":200,"name":"Zencity","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"AI-powered community insights platform helping local governments understand resident sentiment, measure service satisfaction, and make data-driven decisions. Acquired UK-based Commonplace. Used by 350+ cities including NYC, Phoenix, and Nashville.","funding_model":"VC-backed; Growth stage","funding_detail":"TLV Partners, M12 (Microsoft); $30M+ raised; 350+ city clients including NYC, Phoenix, Nashville","named_funders":[],"website":"zencity.io","problem_statements":["Civic Engagement","Feedback Loops","AI in Government","Outcomes Measurement","Scaling What Works"],"problem_areas":["Participatory Democracy","Test & Learn","Domains"],"degree":8},{"id":201,"name":"8VC (Joe Lonsdale)","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal","State","City"],"description":"Venture capital firm with explicit govtech and defense tech investment thesis. Co-founded and backed OpenGov (acquired by Cox Enterprises for $1.8B in 2024). American Dynamism practice includes government software, defense, and infrastructure startups. Lonsdale is a prominent advocate for government modernization through private-sector technology.","funding_model":"Private","funding_detail":"LP-funded VC; $6B+ AUM across multiple funds","named_funders":[],"website":"8vc.com","problem_statements":["Procurement Reform","AI in Government","Physical Infrastructure","Operational Excellence"],"problem_areas":["Procurement & Operations","Domains"],"degree":14},{"id":202,"name":"Advantage Capital / InState Partners","primary_segment":"Investor","segments":["Impact Investing","Investor"],"focus":["State","City"],"description":"St. Louis-based impact investor with InState Partners as a dedicated govtech business line (est. 2013). Combines investment capital with a proprietary 50-state government affairs network to help startups navigate procurement. First investor in PayIt; portfolio includes multiple state and local govtech companies. Three-year strategic partnership with CivStart to accelerate govtech funding. Has deployed $4B+ total across all funds.","funding_model":"Private","funding_detail":"Tax credit-driven funds + traditional LP capital; $4B+ total deployed; InState Partners is dedicated govtech line","named_funders":[],"website":"advantagecap.com","problem_statements":["Procurement Reform","Scaling What Works","Legacy Systems","Operational Excellence"],"problem_areas":["Procurement & Operations","Test & Learn","Technology & Data"],"degree":12},{"id":203,"name":"America's Frontier Fund","primary_segment":"Investor","segments":["Advocacy","Investor"],"focus":["Federal"],"description":"Nonprofit strategic investment fund focused on frontier technologies (semiconductors, AI, quantum, advanced manufacturing) aligned with US national security and competitiveness. DoD SBICCT partner. Led by Gilman Louie (former In-Q-Tel CEO); Jennifer Pahlka on board. Bridges private capital with government technology priorities.","funding_model":"Private, Philanthropy","funding_detail":"Private capital; DoD SBICCT program; philanthropic contributions","named_funders":[],"website":"americasfrontier.org","problem_statements":["AI in Government","Data Security","Procurement Reform"],"problem_areas":["Domains","Technology & Data","Procurement & Operations"],"degree":8},{"id":204,"name":"Andreessen Horowitz","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal","State","City"],"description":"Major VC with govtech portfolio primarily through American Dynamism practice targeting defense and government technology startups. Notable govtech investments include OpenGov ($1.8B exit to Cox Enterprises, 2024), Flock Safety ($658M raised, $7.5B valuation), and Skydio. Govtech is a meaningful but not exclusive focus - defense and national security dominate the American Dynamism portfolio.","funding_model":"Private","funding_detail":"LP-funded; $42B+ AUM; American Dynamism Fund dedicated to defense and government tech","named_funders":[],"website":"a16z.com","problem_statements":["Procurement Reform","AI in Government","Physical Infrastructure"],"problem_areas":["Procurement & Operations","Domains"],"degree":11},{"id":205,"name":"BarronKent Ventures","primary_segment":"Investor","segments":["Investor","VC"],"focus":["State","City"],"description":"Sacramento-based family office and early-stage VC fund with an explicit and deep govtech focus - founded by principals with 18 years running a national GovTech consulting firm before transitioning to investing. Invests in early and growth-stage companies across govtech, healthcare technology, and digital services. Markets served include health and human services, transportation/tolling, licensing and regulatory, and accounting/financial systems. Active participant in CivStart ecosystem and State of GovTech convenings.","funding_model":"Private","funding_detail":"Family office + LP-funded VC; undisclosed fund size; early to growth stage","named_funders":[],"website":"barronkent.com","problem_statements":["Procurement Reform","Legacy Systems","Benefits Access","Operational Excellence","Healthcare Access"],"problem_areas":["Procurement & Operations","Technology & Data","Service Delivery","Domains"],"degree":14},{"id":206,"name":"Blue Ridge Labs (Robin Hood Foundation)","primary_segment":"Investor","segments":["Impact Investing","Investor"],"focus":["City"],"description":"Social impact venture studio within the Robin Hood Foundation. Builds and funds early-stage technology startups serving low-income New Yorkers, with significant overlap with city government programs and agencies. Has produced civic tech startups that work directly with NYC city agencies on service delivery. Bridges philanthropy and venture investment.","funding_model":"Philanthropy","funding_detail":"Robin Hood Foundation","named_funders":[],"website":"robinhood.org/our-work/blue-ridge-labs","problem_statements":["Benefits Access","Economic Mobility"],"problem_areas":["Service Delivery","Domains"],"degree":9},{"id":207,"name":"BV Investment Partners","primary_segment":"Investor","segments":["Investor","PE"],"focus":["State","City"],"description":"Boston-based middle-market PE firm with a deliberate govtech investment thesis. Made initial minority investment in CivicPlus in 2019 - a local government website and citizen engagement platform - scaling it before its $290M exit to Insight Partners in 2021. Government technology is a named sector focus alongside tech-enabled business services.","funding_model":"Private","funding_detail":"LP-funded PE; ~$3.9B total invested since 1983; govtech is named sector focus","named_funders":[],"website":"bvlp.com","problem_statements":["Legacy Systems","Procurement Reform","Civic Engagement"],"problem_areas":["Technology & Data","Procurement & Operations","Participatory Democracy"],"degree":8},{"id":208,"name":"Commonweal Ventures","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal","State","City"],"description":"Early-stage VC fund investing in technology companies serving government customers with a focus on public safety and state/local government. Portfolio includes Multitude Insights (law enforcement collaboration tools), Deckard Technologies (AI-driven municipal tax compliance), and others serving SLED markets. Participated in Starbridge Series A (2025).","funding_model":"Private","funding_detail":"LP-funded VC; undisclosed fund size; seed and early-stage focus on public safety and govtech","named_funders":[],"website":"commonwealventures.com","problem_statements":["Criminal Justice","AI in Government","Tax & Revenue","Operational Excellence"],"problem_areas":["Domains","Procurement & Operations"],"degree":11},{"id":209,"name":"Govtech Fund (Ron Bouganim)","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal","State","City"],"description":"First venture capital fund dedicated exclusively to government technology startups, founded by Ron Bouganim. Makes seed-stage investments ($250K-$500K) in companies selling technology directly to government. ~$50M across two funds. Portfolio includes Mark43 (public safety), SeamlessDocs/GovOS (digital forms), SmartProcure (procurement intelligence), and Merit (verified credentials). Bouganim serves on board of Merit. Strong NASCIO and govtech conference presence.","funding_model":"Private","funding_detail":"LP-funded VC; ~$50M AUM across two funds; seed stage ($250K-$500K checks)","named_funders":[],"website":"govtechfund.com","problem_statements":["Procurement Reform","Legacy Systems","Criminal Justice","Operational Excellence"],"problem_areas":["Procurement & Operations","Technology & Data","Domains"],"degree":13},{"id":210,"name":"Govtech Ventures (Rachel Stern)","primary_segment":"Investor","segments":["Investor","VC"],"focus":["State","City"],"description":"Early-stage VC fund (est. 2024) dedicated exclusively to modernizing state and local government. Founded by Rachel Stern, who was the first investor in PayIt and co-founded InState Partners at Advantage Capital. Raising a $15M inaugural fund targeting pre-seed through seed-plus with LPs including govtech founders and family offices. Portfolio includes Polco, Streamline, and Ladris. Focused specifically on SLED market operators.","funding_model":"Private","funding_detail":"LP-funded VC; ~$15M inaugural fund (fundraising 2024-2025); pre-seed to seed-plus stage","named_funders":[],"website":"govtechventures.com","problem_statements":["Procurement Reform","Service Design"],"problem_areas":["Procurement & Operations","Service Delivery"],"degree":8},{"id":211,"name":"Great Hill Partners","primary_segment":"Investor","segments":["Investor","PE"],"focus":["State","City"],"description":"Boston-based PE firm that built a deliberate govtech investment strategy. Hired Granicus co-founder Tom Spengler as Executive-in-Residence to source govtech deals. In 2025 led the majority recapitalization of Vision Government Solutions - property tax and appraisal software serving 900+ jurisdictions - alongside Weatherford Capital. Strong track record of govtech platform investments and exits.","funding_model":"Private","funding_detail":"LP-funded PE; $12B+ total capital raised across funds; govtech is named vertical","named_funders":[],"website":"greathillpartners.com","problem_statements":["Tax & Revenue","Legacy Systems","Operational Excellence"],"problem_areas":["Domains","Technology & Data","Procurement & Operations"],"degree":8},{"id":212,"name":"IQT (In-Q-Tel)","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal"],"description":"In-Q-Tel (IQT) is the strategic investor for the US intelligence community, founded 1999 by the CIA. Invests in commercial technology companies to bring cutting-edge capabilities to national security agencies. Portfolio spans AI, cybersecurity, data analytics, and quantum computing. Bridge between Silicon Valley and the intelligence community. The original govtech investor.","funding_model":"Government","funding_detail":"CIA and US intelligence community funding","named_funders":[],"website":"iqt.org","problem_statements":["Data Security","AI in Government","Procurement Reform"],"problem_areas":["Technology & Data","Domains","Procurement & Operations"],"degree":9},{"id":213,"name":"J2 Ventures","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal"],"description":"Defense and national security-focused venture fund investing in software and technology for government and defense agencies. Government is the explicit primary customer. Part of the emerging defense tech VC ecosystem alongside IQT and Paladin.","funding_model":"Private","funding_detail":"Limited partner capital","named_funders":[],"website":"j2vc.com","problem_statements":["Data Security","AI in Government"],"problem_areas":["Technology & Data","Domains"],"degree":9},{"id":214,"name":"JFF Ventures","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal","State","City"],"description":"The impact venture arm of JFF (Jobs for the Future). Invests in workforce development and education technology where government workforce programs (WIOA, Perkins, WIA) are often the primary customer. Bridges JFF's policy and research work with technology investment. Key node for workforce development, economic mobility, and human capital problem statements.","funding_model":"Private, Philanthropy","funding_detail":"JFF institutional capital; impact-focused LPs","named_funders":[],"website":"jffventures.org","problem_statements":["Workforce Development","Economic Mobility","Benefits Access","Outcomes Measurement"],"problem_areas":["Talent & Hiring","Domains","Service Delivery","Test & Learn"],"degree":8},{"id":215,"name":"Kapor Capital","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal","State","City"],"description":"Oakland-based early-stage VC (est. 1999) investing in tech startups that close gaps of access for low-income communities and communities of color. Notable govtech investments include Promise (government payment modernization) and Aclima (air quality monitoring for regulators and municipalities). $224M+ AUM across multiple funds. Co-founder Mitchell Kapor is a longtime civic tech philanthropist. Portfolio of 170+ active investments with 4 unicorns and 6 IPOs.","funding_model":"Private","funding_detail":"LP-funded VC; $224M+ AUM; Kapor Capital Fund III; seed stage focus","named_funders":["Kapor Capital"],"website":"kaporcapital.com","problem_statements":["Benefits Access","Economic Mobility","Criminal Justice"],"problem_areas":["Service Delivery","Domains"],"degree":8},{"id":216,"name":"Omidyar Network","primary_segment":"Investor","segments":["Impact Investing","Investor"],"focus":["Federal","State","City"],"description":"Philanthropic investment firm that makes both grants and equity investments at the intersection of responsible technology and governance. Funds TechCongress and responsible technology initiatives with an explicit focus on ensuring the digital revolution serves shared power and prosperity. Has deployed $2B+ to 700+ organizations spanning nonprofits and for-profits. Spun out Luminate (grants) and retained the investing arm as Omidyar Network.","funding_model":"Private","funding_detail":"Pierre and Pam Omidyar personal capital; ~$2B deployed across grants and equity investments","named_funders":["Omidyar Network"],"website":"omidyar.com","problem_statements":["Transparency & Accountability","Reaction Time","Democracy Infrastructure","AI in Government","Data Security"],"problem_areas":["Participatory Democracy","Procurement & Operations","Domains","Technology & Data"],"degree":11},{"id":217,"name":"Paladin Capital Group","primary_segment":"Investor","segments":["Investor","PE"],"focus":["Federal","State","City"],"description":"Washington DC-based VC focused on cybersecurity and critical infrastructure protection technology for government and defense customers. Portfolio includes companies serving DHS, DoD, and civilian agencies. Government is the explicit primary customer. Key node for cybersecurity and critical infrastructure problem statements.","funding_model":"Private","funding_detail":"Limited partner capital","named_funders":[],"website":"paladincapgroup.com","problem_statements":["Data Security","Physical Infrastructure","AI in Government"],"problem_areas":["Technology & Data","Domains"],"degree":9},{"id":218,"name":"Serent Capital","primary_segment":"Investor","segments":["Investor","PE"],"focus":["State","City"],"description":"Growth-focused PE firm with a dedicated GovTech investment team. Five govtech platform investments in four years including BS&A Software (municipal ERP, acquired 2021), First Due (fire and EMS software), GovWorx (911 quality assurance), and Pondera Solutions (fraud detection for government benefits, exited to Thomson Reuters). Targets profitable, recurring-revenue cloud SaaS companies selling to state and local agencies.","funding_model":"Private","funding_detail":"LP-funded PE; multiple funds since 2008; $3B+ total capital under management","named_funders":[],"website":"serentcapital.com","problem_statements":["Legacy Systems","Tax & Revenue","Crisis Response","Operational Excellence"],"problem_areas":["Technology & Data","Domains","Procurement & Operations"],"degree":8},{"id":219,"name":"Socium Ventures","primary_segment":"Investor","segments":["Investor","VC"],"focus":["State","City"],"description":"Evergreen venture fund backed by Cox Enterprises with $600M+ committed across two funds (Fund II: $300M closed Oct 2024). Notable govtech investment includes Carbyne - next-generation 911 and emergency response platform - which was acquired by Axon in November 2025 for $625M. Cox Enterprises is also the majority acquirer of OpenGov ($1.8B, 2024), giving Socium strategic alignment with govtech through its parent. Portfolio also includes health, enterprise software, and AI companies.","funding_model":"Private","funding_detail":"Cox Enterprises-backed evergreen fund; $300M Fund II (Oct 2024); $600M+ total committed","named_funders":[],"website":"sociumventures.com","problem_statements":["Crisis Response","Physical Infrastructure","Operational Excellence"],"problem_areas":["Domains","Procurement & Operations"],"degree":9},{"id":220,"name":"Town Hall Ventures","primary_segment":"Investor","segments":["Investor","VC"],"focus":["Federal","State"],"description":"Venture fund explicitly focused on health and human services technology where government is the primary paying customer. Invests in companies serving Medicaid, Medicare, SNAP, and other public benefit programs. Key investor node for benefits delivery, health equity, and government health program modernization problem statements.","funding_model":"Private","funding_detail":"Limited partner capital","named_funders":[],"website":"townhallventures.com","problem_statements":["Healthcare Access","Benefits Access","AI in Government","Outcomes Measurement"],"problem_areas":["Domains","Service Delivery","Test & Learn"],"degree":8},{"id":221,"name":"Weatherford Capital (Will Weatherford)","primary_segment":"Investor","segments":["Family Office","Investor"],"focus":["State","City"],"description":"Family-owned PE firm founded in 2015 by former Florida House Speaker Will Weatherford. Seven govtech platform investments since inception including PayIt (digital government payments), OpenGov ($1.8B exit to Cox Enterprises, 2024), SOMA Global (public safety), and BusPatrol (school bus safety). Closed $300M Fund II in 2025. Deep government relationships - rooted in Weatherford's legislative background - as a core value-add for portfolio companies navigating procurement.","funding_model":"Private","funding_detail":"Family-owned PE; $300M Fund II closed 2025; $1B+ AUM across two funds","named_funders":[],"website":"weatherfordcapital.com","problem_statements":["Tax & Revenue","Permitting & Licensing","Legacy Systems","Operational Excellence","Criminal Justice"],"problem_areas":["Domains","Technology & Data","Procurement & Operations"],"degree":8},{"id":222,"name":"Annie E. Casey Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["State","City"],"description":"Major funder of Georgetown Beeck Center. Focus on child welfare, juvenile justice, and family economic success; all areas where government delivery capacity is critical. Funds community-based organizations and government agencies improving child/family outcomes through data and technology.","funding_model":"Philanthropy","funding_detail":"$3B+ endowment","named_funders":[],"website":"aecf.org","problem_statements":["Child Welfare","Criminal Justice","Benefits Access","Outcomes Measurement"],"problem_areas":["Domains","Service Delivery","Test & Learn"],"degree":11},{"id":223,"name":"Arnold Ventures","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Funds evidence-based government reform including Results for America and government performance initiatives. Focus on criminal justice, health, evidence-based implementation.","funding_model":"Philanthropy","funding_detail":"John and Laura Arnold wealth","named_funders":[],"website":"arnoldventures.org","problem_statements":["Criminal Justice","Healthcare Access","Evidence Use","Outcomes Measurement","Education Delivery","Scaling What Works"],"problem_areas":["Domains","Test & Learn"],"degree":13},{"id":224,"name":"Ballmer Group (Steve & Connie Ballmer)","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["State","City"],"description":"Funds data-driven systems change for economic mobility. Key funder of GovEx/JHU Centers for Civic Impact. Supports USAFacts (gov data transparency platform Steve Ballmer personally launched). Large-scale state partnerships - $1B+ commitment to WA state early childhood. Focus on evidence-based government, workforce development, and using data to improve government services.","funding_model":"Philanthropy","funding_detail":"Steve Ballmer personal wealth (fmr. Microsoft CEO)","named_funders":[],"website":"ballmergroup.org","problem_statements":["Outcomes Measurement","Transparency & Accountability","Economic Mobility","Data Integration","Education Delivery"],"problem_areas":["Test & Learn","Participatory Democracy","Domains","Technology & Data"],"degree":12},{"id":225,"name":"Bloomberg Philanthropies: Government Innovation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Major funder of city-level government innovation. Funds Bloomberg Harvard City Leadership Initiative, Bloomberg Center for Cities, What Works Cities (via Results for America), Data-Smart City Solutions, i-teams.","funding_model":"Philanthropy","funding_detail":"Bloomberg LP profits; Michael Bloomberg personal wealth","named_funders":[],"website":"bloomberg.org/government-innovation","problem_statements":["Outcomes Measurement","AI in Government","Service Design","Scaling What Works"],"problem_areas":["Test & Learn","Domains","Service Delivery"],"degree":12},{"id":226,"name":"Blue Meridian Partners","primary_segment":"Philanthropy","segments":["Impact Investing","Philanthropy"],"focus":["Federal","State","City"],"description":"Funder collaborative housed at Edna McConnell Clark Foundation that finds and scales solutions for economic mobility. Major Ballmer Group partner. Funds organizations at the intersection of nonprofit service delivery and government systems change. Relevant because many grantees work directly with government agencies on benefits delivery, workforce development, and child welfare systems.","funding_model":"Philanthropy","funding_detail":"Ballmer Group, Sergey Brin Family Foundation, Edna McConnell Clark Foundation + others; grants-based, not equity","named_funders":[],"website":"bluemeridian.org","problem_statements":["Economic Mobility","Benefits Access","Scaling What Works"],"problem_areas":["Domains","Service Delivery","Test & Learn"],"degree":10},{"id":227,"name":"Chan Zuckerberg Initiative (CZI)","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["State","City"],"description":"LLC blending grants and investments. Funded FUSE Corps. Community program supports housing, health, and economic development in San Mateo County/Bay Area. Note: CZI significantly restructured in Feb 2025 - cut social advocacy funding, DEI teams, and shifted focus to AI in science and education. State capacity relevance is narrower now than pre-2025.","funding_model":"Philanthropy","funding_detail":"Mark Zuckerberg and Priscilla Chan personal wealth; operates as LLC","named_funders":[],"website":"chanzuckerberg.com","problem_statements":["AI in Government","Education Delivery","Benefits Access"],"problem_areas":["Domains","Service Delivery"],"degree":8},{"id":228,"name":"Craig Newmark Philanthropies","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Founded by craigslist founder. Major funder of Aspen Policy Academy / Tech Policy Hub since its founding. Supports cybersecurity, trustworthy journalism, and public interest technology pipeline. Pragmatic, hands-on funder with focus on infrastructure for civic tech.","funding_model":"Philanthropy","funding_detail":"Craig Newmark personal wealth","named_funders":[],"website":"craignewmarkphilanthropies.org","problem_statements":["Talent Pipeline","Data Security","Expert Contribution"],"problem_areas":["Talent & Hiring","Technology & Data"],"degree":9},{"id":229,"name":"Data.org","primary_segment":"Philanthropy","segments":["Advocacy","Digital Services & Consulting","Philanthropy"],"focus":["Federal","State","City"],"description":"Nonprofit building the field of data for social impact. Capacity Accelerator Network provides training and resources for organizations using data to improve public services. Inclusive Growth and Recovery Challenge funds data-driven solutions.","funding_model":"Philanthropy","funding_detail":"Mastercard Center for Inclusive Growth + philanthropic","named_funders":[],"website":"data.org","problem_statements":["Data Integration","Outcomes Measurement","Scaling What Works","Evidence Use"],"problem_areas":["Technology & Data","Test & Learn"],"degree":9},{"id":230,"name":"de Beaumont Foundation","primary_segment":"Philanthropy","segments":["Capacity Building","Philanthropy","Research"],"focus":["Federal","State","City"],"description":"Bethesda-based private foundation (est. 1998, fully endowed 2010) focused on strengthening state and local health department capacity and the public health workforce. Operates as an engaged programmatic funder -- identifies gaps, builds tools, and convenes partners rather than accepting proposals. Key programs: PH WINS (nationally representative survey of 10,000+ public health workers, in partnership with ASTHO); Public Health Forward modernization roadmap (with Bipartisan Policy Center); Public Health Workforce Calculator (with CDC and PHNCI); and the IMPACT collaborative pairing health departments with private sector partners. Convened the National Consortium for Public Health Workforce Development (sunseted 2023 as CDC PHIG absorbed the function).","funding_model":"Philanthropy","funding_detail":"Fully endowed private foundation (Pierre de Beaumont estate); does not accept unsolicited proposals","named_funders":[],"website":"debeaumont.org","problem_statements":["Public Health","Talent Pipeline","Operational Excellence","Evidence Use","Hiring Architecture"],"problem_areas":["Domains","Talent & Hiring","Procurement & Operations","Test & Learn"],"degree":8},{"id":231,"name":"Democracy Fund (Omidyar Group)","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal"],"description":"Nonpartisan foundation focused on effective and accountable government as one of four pillars. Funds congressional modernization orgs (POPVOX Foundation, Lincoln Network), government transparency, and legislative branch capacity-building. $200+ grants/year. Doubling down on democracy defense in 2025-2026.","funding_model":"Philanthropy","funding_detail":"Pierre and Pam Omidyar / Omidyar Group","named_funders":["Omidyar Network"],"website":"democracyfund.org","problem_statements":["Democracy Infrastructure","Reaction Time","Transparency & Accountability"],"problem_areas":["Participatory Democracy","Procurement & Operations"],"degree":8},{"id":232,"name":"Emerson Collective (Laurene Powell Jobs)","primary_segment":"Philanthropy","segments":["Philanthropy","Venture Philanthropy"],"focus":["Federal","State","City"],"description":"LLC (~$28B AUM) blending VC, philanthropy, and advocacy. Invested in OpenGov (pre-acquisition). Education reform (XQ Institute, College Track) and immigration policy are core verticals where EC works to reshape government systems. Founded Chicago CRED (gun violence intervention with government) and E Pluribus Unum (civic engagement in the South). Strong state and local policy advocacy capacity.","funding_model":"Philanthropy","funding_detail":"Powell Jobs personal wealth; Waverley Street Foundation committed $3.5B over 10 years","named_funders":[],"website":"emersoncollective.com","problem_statements":["Housing & Land Use","Criminal Justice"],"problem_areas":["Domains"],"degree":8},{"id":233,"name":"Families and Workers Fund","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"135M+ pooled funder collaborative (40+ funders including Ford Foundation, Schmidt Futures, Rockefeller, Annie E. Casey, Open Society, MacKenzie Scott) funding civic tech, public benefits delivery modernization, and government innovation alongside workforce policy. Runs the Public Benefit Innovation Fund (PBIF), an open call for AI-enabled benefits delivery solutions. Key funder node connecting much of the benefits tech and government delivery ecosystem.","funding_model":"Philanthropy (pooled fund)","funding_detail":"Ford Foundation, Schmidt Futures, Rockefeller Foundation, Annie E. Casey, Open Society Foundations, MacKenzie Scott, and 35+ co-funders","named_funders":["Ford Foundation","Rockefeller Foundation","Schmidt Futures"],"website":"familiesandworkers.org","problem_statements":["Benefits Access","Workforce Development","AI in Government","Service Design"],"problem_areas":["Service Delivery","Talent & Hiring","Domains"],"degree":9},{"id":234,"name":"Ford Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Major funder of public interest technology ecosystem. Co-convenes PIT-UN. Funds Coding it Forward, FUSE Corps, Aspen Policy Academy, Data & Society, Ash Center endowment, PIT Infrastructure Fund.","funding_model":"Philanthropy","funding_detail":"$16B endowment","named_funders":[],"website":"fordfoundation.org","problem_statements":["Talent Pipeline","Expert Contribution","Transparency & Accountability","Benefits Access","Scaling What Works"],"problem_areas":["Talent & Hiring","Participatory Democracy","Service Delivery","Test & Learn"],"degree":15},{"id":235,"name":"Gates Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Funds GovEx/JHU Centers for Civic Impact. Supports government data capacity for public health and education policy. K-12 and public health data systems work often intersects with state/local government capacity. Large-scale but government modernization is a secondary rather than primary focus.","funding_model":"Philanthropy","funding_detail":"$67B+ endowment (largest private foundation)","named_funders":[],"website":"gatesfoundation.org","problem_statements":["Education Delivery","Public Health","Data Integration","Outcomes Measurement"],"problem_areas":["Domains","Technology & Data","Test & Learn"],"degree":13},{"id":236,"name":"Google.org","primary_segment":"Philanthropy","segments":["Corporate Philanthropy","Philanthropy"],"focus":["State","City"],"description":"Google's philanthropic arm. Funded Decoded Futures AI capacity-building for NYC nonprofits ($1M grant). Supports AI for social good, digital skills training, and civic technology projects. Corporate partner for government AI pilots (e.g., Seattle, Boston traffic optimization).","funding_model":"Corporate Philanthropy","funding_detail":"Google / Alphabet Inc.","named_funders":[],"website":"google.org","problem_statements":["AI in Government","Talent Pipeline"],"problem_areas":["Domains","Talent & Hiring"],"degree":8},{"id":237,"name":"Hewlett Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Co-convenes PIT-UN. Funds TechCongress, public interest technology infrastructure, and government performance programs.","funding_model":"Philanthropy","funding_detail":"$12B+ endowment","named_funders":[],"website":"hewlett.org","problem_statements":["Talent Pipeline","Expert Contribution","Transparency & Accountability","Reaction Time","Scaling What Works"],"problem_areas":["Talent & Hiring","Participatory Democracy","Procurement & Operations","Test & Learn"],"degree":10},{"id":238,"name":"Irvine Foundation (James Irvine Foundation)","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["State"],"description":"California-focused funder. Supports FUSE Corps. Focus on economic and political inclusion in California; funds orgs that strengthen civic participation and government responsiveness at state and local levels.","funding_model":"Philanthropy","funding_detail":"$2B+ endowment","named_funders":[],"website":"irvine.org","problem_statements":["Civic Engagement","Economic Mobility"],"problem_areas":["Participatory Democracy","Domains"],"degree":9},{"id":239,"name":"Knight Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["City"],"description":"Invests in civic engagement, data-driven governance, and smart city strategies. $4M+ investment in 8 orgs using tech/data to strengthen public services. Funds Harvard Data-Smart City Solutions, GovEx/JHU, San Jose AI partnerships, and Knight Emerging City Champions fellowship (micro-grants for young civic innovators in 8 Knight resident communities). Focus on mid-size US cities.","funding_model":"Philanthropy","funding_detail":"$3.5B+ endowment (Knight brothers / Knight Ridder)","named_funders":[],"website":"knightfoundation.org","problem_statements":["Outcomes Measurement","Data Integration","Civic Engagement","AI in Government"],"problem_areas":["Test & Learn","Technology & Data","Participatory Democracy","Domains"],"degree":11},{"id":240,"name":"Luminate (Omidyar Group)","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Global foundation focused on civic empowerment, data and digital rights, financial transparency, and independent media. Funds orgs working on government transparency, open data, and citizen participation. Spun out of Omidyar Network's Governance & Citizen Engagement initiative in 2018.","funding_model":"Philanthropy","funding_detail":"Pierre and Pam Omidyar / Omidyar Group","named_funders":["Omidyar Network"],"website":"luminategroup.com","problem_statements":["Transparency & Accountability","Data Security","Civic Engagement","Democracy Infrastructure"],"problem_areas":["Participatory Democracy","Technology & Data"],"degree":9},{"id":241,"name":"MacArthur Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["City"],"description":"Major funder of Civic Consulting Alliance ($6M+ since 2003). Supports government accountability, criminal justice reform, and community development orgs that work with local government. Also funds Data & Society and investigative journalism that surfaces government capacity issues.","funding_model":"Philanthropy","funding_detail":"$8B+ endowment","named_funders":[],"website":"macfound.org","problem_statements":["Operational Excellence","Criminal Justice","Transparency & Accountability"],"problem_areas":["Procurement & Operations","Domains","Participatory Democracy"],"degree":9},{"id":242,"name":"Mastercard Center for Inclusive Growth / Mastercard Impact Fund","primary_segment":"Philanthropy","segments":["Corporate Philanthropy","Philanthropy"],"focus":["Federal","State","City"],"description":"Corporate philanthropy arm. Co-funds PIT-UN with Ford and Hewlett. Funds data.org and data-for-social-impact initiatives. Supports government digital inclusion and financial access programs.","funding_model":"Corporate Philanthropy","funding_detail":"Mastercard Inc. corporate funding","named_funders":[],"website":"mastercard.com/global/en/vision/who-we-are/center-for-inclusive-growth.html","problem_statements":["Data Integration","Economic Mobility","Benefits Access","Scaling What Works"],"problem_areas":["Technology & Data","Domains","Service Delivery","Test & Learn"],"degree":10},{"id":243,"name":"New Profit","primary_segment":"Philanthropy","segments":["Philanthropy","Venture Philanthropy"],"focus":["Federal","State","City"],"description":"Pioneer venture philanthropy fund investing in social entrepreneurs tackling civic engagement and government service delivery. In 2024 invested $2.6M across 24 organizations. Build Investments provide $1.5M multi-year unrestricted grants paired with deal partners. Portfolio includes public service pipeline orgs like Latinas Represent.","funding_model":"Philanthropy","funding_detail":"Donor-funded; raised $300M+ since 1998","named_funders":[],"website":"newprofit.org","problem_statements":["Economic Mobility","Scaling What Works"],"problem_areas":["Domains","Test & Learn"],"degree":10},{"id":244,"name":"NextLadder Ventures","primary_segment":"Philanthropy","segments":["Philanthropy","Venture Philanthropy"],"focus":["Federal","State","City"],"description":"$1B+ initiative launched July 2025 by Ballmer Group, Gates Foundation, Stand Together, Valhalla Foundation, and John Overdeck. Invests in entrepreneurs building tech-enabled solutions helping low-income Americans navigate government systems and economic barriers. Uses a mix of grants, equity, and revenue-based financing over a 15-year horizon. Relevant to state capacity as it funds the interface layer between government benefits systems and residents.","funding_model":"Philanthropy","funding_detail":"$1B+ committed across founding coalition over 15 years; mix of grants, equity, and revenue-based financing","named_funders":[],"website":"ballmergroup.org","problem_statements":["Benefits Access","Economic Mobility"],"problem_areas":["Service Delivery","Domains"],"degree":9},{"id":245,"name":"Open Philanthropy","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Major funder of Niskanen Center (state capacity work) and immigration reform advocacy. Research-driven grantmaking. AI governance and policy is growing focus area. Funds GiveDirectly and evidence-based policy research that intersects with government delivery.","funding_model":"Philanthropy","funding_detail":"Cari Tuna and Dustin Moskovitz (Facebook co-founder)","named_funders":[],"website":"openphilanthropy.org","problem_statements":["AI in Government","Evidence Use","Regulatory & Administrative Burden"],"problem_areas":["Domains","Test & Learn","Procurement & Operations"],"degree":9},{"id":246,"name":"Patrick J. McGovern Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Co-funds PIT Infrastructure Fund. Supports Coding it Forward, Govern for America, and orgs advancing responsible AI and data use in public sector.","funding_model":"Philanthropy","funding_detail":"McGovern Foundation endowment","named_funders":["Patrick J. McGovern Foundation"],"website":"mcgovern.org","problem_statements":["Talent Pipeline","AI in Government"],"problem_areas":["Talent & Hiring","Domains"],"degree":15},{"id":247,"name":"Pivotal Ventures (Melinda French Gates)","primary_segment":"Philanthropy","segments":["Philanthropy","Venture Philanthropy"],"focus":["Federal","State","City"],"description":"Co-funds PIT Infrastructure Fund. Supports Coding it Forward, Govern for America, and pathways for underrepresented technologists in government.","funding_model":"Philanthropy","funding_detail":"Melinda French Gates personal wealth","named_funders":[],"website":"pivotalventures.org","problem_statements":["Talent Pipeline","Hiring Architecture","Economic Mobility"],"problem_areas":["Talent & Hiring","Domains"],"degree":9},{"id":248,"name":"Public Benefit Innovation Fund","primary_segment":"Philanthropy","segments":["Capacity Building","Philanthropy"],"focus":["Federal","State","City"],"description":"Pooled grantmaking vehicle housed at Center for Civic Futures. They provide seed funding and technical support for researchers, nonprofits, academic labs, startups, and technologists working to improve social service delivery.","funding_model":"Philanthropy","funding_detail":"Gates Foundation, Ballmer Group, Renaissance Philanthropy,  Digital Harbor Foundation","named_funders":["Gates Foundation"],"website":"https://www.publicbenefitinnovationfund.org/","problem_statements":["Procurement Reform","Service Design","Regulatory & Administrative Burden","AI in Government"],"problem_areas":["Service Delivery","Technology & Data","Procurement & Operations","Domains"],"degree":9},{"id":249,"name":"Public Interest Technology Infrastructure Fund (PIT Fund)","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Pooled grantmaking vehicle housed at New Venture Fund. Dedicated to building the PIT ecosystem; funds talent pipeline orgs like Coding it Forward ($550K), Govern for America, #BlackTechFutures ($250K), AAAS AI fellowships ($250K), PIT hubs ($200K each), and Data & Society. Funded by Ford, Siegel, McGovern, Pivotal, Schmidt Futures.","funding_model":"Philanthropy","funding_detail":"Ford Foundation, Siegel, McGovern, Pivotal Ventures, Schmidt Futures","named_funders":["Ford Foundation","Schmidt Futures"],"website":"newventurefund.org","problem_statements":["Talent Pipeline","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":16},{"id":250,"name":"Raikes Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Co-funds PIT-UN. Founded by Jeff Raikes (fmr. Microsoft exec, fmr. Gates Foundation CEO). Supports education, youth development, and public interest technology pipeline programs.","funding_model":"Philanthropy","funding_detail":"Raikes family wealth","named_funders":[],"website":"raikesfoundation.org","problem_statements":["Talent Pipeline","Education Delivery"],"problem_areas":["Talent & Hiring","Domains"],"degree":12},{"id":251,"name":"Robin Hood Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["City"],"description":"NYC's largest local poverty-fighting philanthropy. Seeded Decoded Futures AI capacity-building for nonprofits delivering public services.","funding_model":"Philanthropy","funding_detail":"NYC donor base; annual galas","named_funders":[],"website":"robinhood.org","problem_statements":["Economic Mobility"],"problem_areas":["Domains"],"degree":9},{"id":252,"name":"Rockefeller Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Launched AI Readiness Project (Nov 2025) expanding to all 50 states. Funds state/local government AI capacity-building and digital inclusion.","funding_model":"Philanthropy","funding_detail":"$5B+ endowment","named_funders":[],"website":"rockefellerfoundation.org","problem_statements":["AI in Government","Scaling What Works","Reaction Time"],"problem_areas":["Domains","Test & Learn","Procurement & Operations"],"degree":11},{"id":253,"name":"Schmidt Futures","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Philanthropic initiative (Eric & Wendy Schmidt) making grants and investments at intersection of talent and technology. Funded Social Safety Net Product Studio, USDR, FAS, PIT-UN, benefits access modernization.","funding_model":"Philanthropy","funding_detail":"Schmidt family wealth; operates as LLC","named_funders":[],"website":"schmidtfutures.com","problem_statements":["Benefits Access","Talent Pipeline","AI in Government","Scaling What Works"],"problem_areas":["Service Delivery","Talent & Hiring","Domains","Test & Learn"],"degree":15},{"id":254,"name":"Siegel Family Endowment","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["Federal","State","City"],"description":"Committed $20M to PIT ecosystem. Co-funds PIT Infrastructure Fund. Supports Coding it Forward, Aspen Policy Academy, Data & Society, New America PIT.","funding_model":"Philanthropy","funding_detail":"Siegel family wealth (Two Sigma co-founder)","named_funders":[],"website":"siegelendowment.org","problem_statements":["Talent Pipeline","Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":12},{"id":255,"name":"Thierer Family Foundation","primary_segment":"Philanthropy","segments":["Philanthropy"],"focus":["City"],"description":"Chicago-based foundation that funds technology capacity for nonprofits and government-adjacent organizations. Founded Vivery, a food access technology platform now used by 21+ food banks. Focus on technology as a lever for social impact, with emphasis on food access, benefits navigation, and digital inclusion. Grants technology solutions to nonprofits at no cost through the Vivery Community model.","funding_model":"Private Foundation","funding_detail":"Thierer family (Mark and Nasrin Thierer)","named_funders":[],"website":"thiererfamilyfoundation.org","problem_statements":["Economic Mobility"],"problem_areas":["Domains"],"degree":8},{"id":256,"name":"Valhalla Foundation","primary_segment":"Philanthropy","segments":["Philanthropy","Venture Philanthropy"],"focus":["Federal","State"],"description":"Philanthropy focused on measurable improvement in children's lives through early childhood development, K-12 education, and data science. Co-founder of NextLadder Ventures. Invests in data-driven approaches to improving government-run systems particularly in education and child welfare. Collaborative philanthropy model emphasizing cross-funder coordination.","funding_model":"Philanthropy","funding_detail":"Family foundation; undisclosed AUM","named_funders":[],"website":"valhallafoundation.org","problem_statements":["Education Delivery","Child Welfare","Outcomes Measurement","Data Integration"],"problem_areas":["Domains","Test & Learn","Technology & Data"],"degree":8},{"id":257,"name":"AI Now Institute of Technology","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State"],"description":"Independent policy research institute (est. 2017 at NYU; fully independent since 2022) studying the social implications of AI with a focus on power concentration, public accountability, and government use of AI. Annual Landscape Report is a field-defining publication on AI governance. Leadership advised the FTC on AI in 2021-22. Research covers government use of AI in benefits systems, hiring, criminal justice, and public services - making it directly relevant to state capacity accountability. Explicitly refuses corporate tech funding to maintain independence. 2025 Landscape Report: \"Artificial Power\" focused on reclaiming public control over AI trajectory. Funded by Ford Foundation, Open Society Foundations, Omidyar Network, Luminate.","funding_model":"Philanthropy","funding_detail":"Ford Foundation, Open Society Foundations, Omidyar Network, Luminate; no corporate tech industry funding","named_funders":["Ford Foundation","Luminate","Omidyar Network"],"website":"ainowinstitute.org","problem_statements":["AI in Government","Transparency & Accountability","Data Security"],"problem_areas":["Domains","Participatory Democracy","Technology & Data"],"degree":10},{"id":258,"name":"Aspen Institute","primary_segment":"Research","segments":["Capacity Building","Research","Think Tank"],"focus":["Federal","State","City"],"description":"Nonpartisan forum for values-based leadership. Relevant programs include Aspen Policy Academy (see Training segment), Aspen Digital (tech policy), and various governance convenings. Broader than state capacity but significant convening power at leadership level.","funding_model":"Philanthropy","funding_detail":"Broad philanthropic base; major foundation support; event revenue","named_funders":[],"website":"aspeninstitute.org","problem_statements":["Expert Contribution"],"problem_areas":["Talent & Hiring"],"degree":8},{"id":259,"name":"Bipartisan Policy Center (BPC)","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal"],"description":"Centrist think tank founded by former Senate majority leaders from both parties. Governance program focuses on congressional capacity, executive branch management, and government modernization. Technology project examines AI governance and digital government policy.","funding_model":"Philanthropy","funding_detail":"Bipartisan philanthropic base; foundation and corporate support","named_funders":[],"website":"bipartisanpolicy.org","problem_statements":["Reaction Time","Democracy Infrastructure","AI in Government","Procurement Reform"],"problem_areas":["Procurement & Operations","Participatory Democracy","Domains"],"degree":17},{"id":260,"name":"Brookings: Center for Technology Innovation","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Policy research on AI governance, digital government, tech talent, and government modernization. Congressional testimony.","funding_model":"Philanthropy","funding_detail":"Brookings endowment + donor-supported projects","named_funders":[],"website":"brookings.edu/center/center-for-technology-innovation","problem_statements":["AI in Government","Talent Pipeline","Hiring Architecture","Evidence Use"],"problem_areas":["Domains","Talent & Hiring","Test & Learn"],"degree":13},{"id":261,"name":"Building State Capability (BSC) - Harvard Kennedy School","primary_segment":"Research","segments":["Research","University"],"focus":["Federal","State","City"],"description":"Applied research program at Harvard Kennedy School led by Prof. Matt Andrews, pioneering the Problem Driven Iterative Adaptation (PDIA) methodology for escaping government capability traps. Foundational scholarship on why government reforms fail (isomorphic mimicry, premature load-bearing) and how to build real implementation capacity. Has trained 4,850+ practitioners in 157 countries including US state and local officials. Offers online courses, executive education, and PDIA coaching. Most directly relevant academic program to the core question of how governments build implementation capacity.","funding_model":"University","funding_detail":"Harvard Kennedy School endowment + earned revenue from executive education","named_funders":[],"website":"bsc.hks.harvard.edu","problem_statements":["Evidence Use","Scaling What Works","Operational Excellence","Iterative Learning"],"problem_areas":["Test & Learn","Procurement & Operations"],"degree":9},{"id":262,"name":"Center for a New American Security (CNAS)","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal"],"description":"Bipartisan national security think tank. Technology and National Security program researches AI, emerging tech, and defense innovation. [NOTE: Primarily defense-focused. State capacity relevance is limited to where defense tech/AI governance intersects with broader government modernization.]","funding_model":"Philanthropy","funding_detail":"Broad bipartisan donor base; foundation and government grants","named_funders":[],"website":"cnas.org","problem_statements":["AI in Government","Data Security"],"problem_areas":["Domains","Technology & Data"],"degree":14},{"id":263,"name":"Center for Democracy and Technology (CDT)","primary_segment":"Research","segments":["Advocacy","Research","Think Tank"],"focus":["Federal"],"description":"Nonpartisan 501(c)(3) (est. 1994) promoting democratic values by shaping technology policy with a focus on individual rights. CDT AI Governance Lab (launched May 2023, director Miranda Bogen) is the most state capacity-relevant unit - advises policymakers on AI auditing, safety, and accountability; publishes technical guidance on bias measurement, AI documentation, fairness assessments, and government use of AI in benefits, education, and law enforcement. Works directly with federal agencies and regulators. Hosted fellowships for researchers on algorithmic fairness and AI safety. In 2024 the Lab analyzed open foundation model risks with Stanford HAI and published reports on AI assurance and action-taking AI agents.","funding_model":"Philanthropy","funding_detail":"Foundation-funded; Ford Foundation, Open Society Foundations, and others; no corporate tech funding","named_funders":["Ford Foundation"],"website":"cdt.org","problem_statements":["AI in Government","Transparency & Accountability","Data Security"],"problem_areas":["Domains","Participatory Democracy","Technology & Data"],"degree":8},{"id":264,"name":"Center for Information Technology Policy (CITP, Princeton)","primary_segment":"Research","segments":["Research","University"],"focus":["Federal","State","City"],"description":"The Center for Information Technology Policy (CITP) at Princeton University is an interdisciplinary research center studying the intersection of technology and public life. Research areas include election security, AI regulation, algorithmic accountability, surveillance, and digital rights. Notable alumni pipeline into USDS, FTC, and congressional tech policy offices. Bridges technical and policy communities.","funding_model":"Philanthropy, University","funding_detail":"Princeton University; foundation grants; NSF","named_funders":["NSF"],"website":"citp.princeton.edu","problem_statements":["AI in Government","Democracy Infrastructure","Data Security","Transparency & Accountability"],"problem_areas":["Domains","Participatory Democracy","Technology & Data"],"degree":12},{"id":265,"name":"Center for Security and Emerging Technology (CSET)","primary_segment":"Research","segments":["Research"],"focus":["Federal"],"description":"The Center for Security and Emerging Technology (CSET) at Georgetown University is a think tank focused on AI and national security policy. Produces policy analysis for DoD, Congress, and the intelligence community. Founded by former IARPA director Jason Matheny. Key node for AI governance, national competitiveness, and government AI adoption problem statements.","funding_model":"Philanthropy","funding_detail":"Open Philanthropy (primary funder); Georgetown University","named_funders":["Open Philanthropy"],"website":"cset.georgetown.edu","problem_statements":["AI in Government","Expert Contribution"],"problem_areas":["Domains","Talent & Hiring"],"degree":9},{"id":266,"name":"Center for Tribal Digital Sovereignty (ASU / NCAI)","primary_segment":"Research","segments":["Advocacy","Research","University"],"focus":["Federal"],"description":"First and only center in the US dedicated to helping tribal governments build digital sovereignty plans. Launched June 2024 as a partnership between the American Indian Policy Institute (AIPI) at ASU Law and the National Congress of American Indians. Serves all 574 federally recognized Tribal Nations. Provides research, capacity-building support, and policy advocacy. Publishes AI governance frameworks for tribal contexts (Feb 2026). Co-hosts the annual Wiring the Rez conference (227 participants from 44 Tribal nations in 2025). Seed funding from Ford Foundation and Google.org. Acts as clearinghouse for tribal digital sovereignty resources - broadband governance, data sovereignty, spectrum management, and tribal tech codes.","funding_model":"Philanthropy,University","funding_detail":"Ford Foundation + Google.org seed funding; ASU and NCAI foundational support; seeking additional philanthropic partners","named_funders":["Ford Foundation"],"website":"aipi.asu.edu/ctds","problem_statements":["Benefits Access","Data Integration","Transparency & Accountability","Broadband & Internet Connectivity","Data Security"],"problem_areas":["Service Delivery","Technology & Data","Participatory Democracy","Domains"],"degree":8},{"id":267,"name":"Centre for Public Impact (CPI)","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Global not-for-profit providing government reimagining consulting, adaptive leadership coaching, and legitimacy frameworks.","funding_model":"Philanthropy","funding_detail":"BCG Foundation (founded by BCG; now independently operated); diversified philanthropic base","named_funders":[],"website":"centreforpublicimpact.org","problem_statements":["Operational Excellence","Outcomes Measurement","Iterative Learning","Feedback Loops"],"problem_areas":["Procurement & Operations","Test & Learn"],"degree":11},{"id":268,"name":"Council of State Governments (CSG)","primary_segment":"Research","segments":["Ecosystems","Research","Think Tank"],"focus":["State"],"description":"Founded 1933 - the nation's only nonpartisan organization serving all three branches of state government. Publishes the annual Book of the States (comprehensive statistical reference on state government) and Capitol Ideas magazine. New CSG 50-State Scan policy research series (2025) examines top priorities including government performance and reform. CSG Justice Center develops research-driven criminal justice reform strategies. Six regional offices support state legislators, governors, and judicial officials with research, TA, and peer exchange.","funding_model":"Government","funding_detail":"State appropriations (population-based dues) + federal grants + foundation grants","named_funders":[],"website":"csg.org","problem_statements":["Scaling What Works","Reaction Time","Transparency & Accountability","Criminal Justice","Outcomes Measurement"],"problem_areas":["Test & Learn","Procurement & Operations","Participatory Democracy","Domains"],"degree":8},{"id":269,"name":"Data & Society","primary_segment":"Research","segments":["Research"],"focus":["Federal","State","City"],"description":"Research institute studying social implications of data and AI. Public Technology Leadership Collaborative connects tech experts with government leaders.","funding_model":"Philanthropy","funding_detail":"Ford Foundation, MacArthur Foundation, Siegel Family Endowment","named_funders":["Ford Foundation","MacArthur Foundation"],"website":"datasociety.net","problem_statements":["AI in Government","Transparency & Accountability","Expert Contribution"],"problem_areas":["Domains","Participatory Democracy","Talent & Hiring"],"degree":12},{"id":270,"name":"Data Foundation","primary_segment":"Research","segments":["Advocacy","Research"],"focus":["Federal","State"],"description":"Nonprofit that tracks open government data policy across all 50 states and publishes the annual State of Data Ownership report. Runs the Data Coalition, advocating for federal and state data infrastructure standards. Meaningful node for open data and data infrastructure problem statements.","funding_model":"Philanthropy, Membership","funding_detail":"Foundation grants; member dues from Data Coalition","named_funders":[],"website":"datafoundation.org","problem_statements":["Transparency & Accountability","Evidence Use","Data Integration"],"problem_areas":["Participatory Democracy","Test & Learn","Technology & Data"],"degree":10},{"id":271,"name":"Foundation for American Innovation","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Center-right innovation policy think tank. Senior Fellows program places technologists in congressional offices. Key 2024-25 work: GAO reform proposals, AI governance research, congressional tech capacity. Runs The Dynamist podcast and AI Policy Leadership Network with CNAS and Horizon.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"thefai.org","problem_statements":["AI in Government","Expert Contribution","Reaction Time","Procurement Reform"],"problem_areas":["Domains","Talent & Hiring","Procurement & Operations"],"degree":15},{"id":272,"name":"Georgetown Beeck Center","primary_segment":"Research","segments":["Capacity Building","Digital Services & Consulting","Ecosystems","Research","University"],"focus":["State","City"],"description":"Provides technical assistance, communities of practice, and practitioner training on digital government, data governance, and AI for state/local agencies. Runs Digital Government Hub.","funding_model":"University,Philanthropy","funding_detail":"Georgetown + Annie E. Casey Foundation, Bloomberg, others","named_funders":[],"website":"beeckcenter.georgetown.edu","problem_statements":["Scaling What Works","AI in Government","Data Integration","Service Design","Feedback Loops"],"problem_areas":["Test & Learn","Domains","Technology & Data","Service Delivery"],"degree":9},{"id":273,"name":"Government Finance Officers Association (GFOA)","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"National professional association of 30,000+ state, provincial, and local government finance officers (est. 1906). Publishes the authoritative Governmental Accounting, Auditing, and Financial Reporting guide (GAAFR/\"Blue Book\") and Government Finance Review magazine. Research and Consulting Center is the market leader in helping local governments procure ERP and financial systems - has assisted 450+ governments with system selection and contract negotiation. Runs best practice award programs (CAFR, budget awards) and leadership training. 1-year Research Fellows program for recent UChicago graduates.","funding_model":"Government","funding_detail":"Member dues + conference revenue + consulting fees + publication sales","named_funders":[],"website":"gfoa.org","problem_statements":["Tax & Revenue","Operational Excellence","Outcomes Measurement","Procurement Reform"],"problem_areas":["Domains","Procurement & Operations","Test & Learn"],"degree":10},{"id":274,"name":"GovEx / Johns Hopkins Centers for Civic Impact","primary_segment":"Research","segments":["Capacity Building","Digital Services & Consulting","Ecosystems","Research","University"],"focus":["City"],"description":"Bloomberg Center for Government Excellence at Johns Hopkins. Provides technical assistance, coaching, and training to help cities use data, analytics, and AI. Runs City Data Alliance and GovEx Academy (online courses). Worked with 140+ cities. CDOs-in-Residence program.","funding_model":"University,Philanthropy","funding_detail":"Bloomberg Philanthropies, Ballmer Group, Knight Foundation, Gates Foundation + JHU","named_funders":["Bloomberg Philanthropies","Gates Foundation","Knight Foundation"],"website":"govex.jhu.edu","problem_statements":["Outcomes Measurement","AI in Government","Data Integration","Talent Pipeline","Feedback Loops"],"problem_areas":["Test & Learn","Domains","Technology & Data","Talent & Hiring"],"degree":10},{"id":275,"name":"Harvard Ash Center for Democratic Governance and Innovation","primary_segment":"Research","segments":["Research","University"],"focus":["Federal","State","City"],"description":"Leading academic center for government innovation and democratic governance at Harvard Kennedy School. $50M Ford Foundation endowment. Programs include: Innovations in American Government Awards (recognizing excellence in state/local government since 1985); Data-Smart City Solutions (Bloomberg-funded, covering city data and AI); Allen Lab for Democracy Renovation (technology and democratic institutions); and Harvard Project on American Indian Economic Development. Houses the Bloomberg Harvard City Leadership Initiative executive education program.","funding_model":"University,Philanthropy","funding_detail":"$50M Ford Foundation endowment + Bloomberg Philanthropies ($32M for City Leadership Initiative) + Harvard Kennedy School","named_funders":["Bloomberg Philanthropies","Ford Foundation"],"website":"ash.harvard.edu","problem_statements":["Scaling What Works","Democracy Infrastructure","Civic Engagement","Iterative Learning","Outcomes Measurement"],"problem_areas":["Test & Learn","Participatory Democracy"],"degree":10},{"id":276,"name":"IBM Center for the Business of Government","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Independent research center (est. 1998 as PricewaterhouseCoopers Endowment; acquired by IBM 2002) funding third-party practitioner-focused research on public management at federal, state, and local levels. Publishes 25+ reports per year on digital modernization, AI adoption, workforce, procurement, and service delivery. 2024-25 publications include GenAI for state government, AI-powered procurement, federal workforce transformation, and reducing administrative burden. Hosts forums, radio program, and maintains practitioner fellows. Led by Executive Director Dan Chenok (former career federal CIO executive).","funding_model":"Corporate Philanthropy","funding_detail":"IBM corporate funding","named_funders":[],"website":"businessofgovernment.org","problem_statements":["AI in Government","Procurement Reform","Outcomes Measurement","Operational Excellence"],"problem_areas":["Domains","Procurement & Operations","Test & Learn"],"degree":10},{"id":277,"name":"Information Technology and Innovation Foundation (ITIF)","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Nonpartisan science and tech policy think tank. Research on government IT modernization, AI policy, and digital infrastructure. Published 'After DOGE: Trump's Chance to Modernize.'","funding_model":"Philanthropy","funding_detail":"Foundation grants + industry sponsorship","named_funders":[],"website":"itif.org","problem_statements":["Procurement Reform","AI in Government","Physical Infrastructure"],"problem_areas":["Procurement & Operations","Domains"],"degree":15},{"id":278,"name":"Institute for Progress (IFP)","primary_segment":"Research","segments":["Research"],"focus":["Federal"],"description":"The Institute for Progress (IFP) is a nonpartisan think tank founded 2022 focused on innovation policy: metascience, immigration, emerging technology, and AI infrastructure. Provides technical assistance to federal agencies and runs Capitol Hill briefings for congressional staff. Produces rapid-turnaround policy analysis on high-stakes technology and science policy questions.","funding_model":"Philanthropy","funding_detail":"Arnold Ventures, Sloan Foundation, Schmidt Futures, Open Philanthropy, Astera Foundation","named_funders":["Arnold Ventures","Open Philanthropy","Schmidt Futures","Sloan Foundation"],"website":"ifp.org","problem_statements":["Expert Contribution","Reaction Time"],"problem_areas":["Talent & Hiring","Procurement & Operations"],"degree":10},{"id":279,"name":"Jain Family Institute","primary_segment":"Research","segments":["Research"],"focus":["Federal","State","City"],"description":"Nonpartisan applied research organization founded 2014. Active work on guaranteed income program design (advised Compton Pledge, Stockton SEED, federal Child Tax Credit), digital ethics and AI governance, and macroeconomic policy for government. Advises city programs, state legislatures, and federal policymakers. Bridges academic research and government implementation.","funding_model":"Philanthropy","funding_detail":"Private foundation funding (Bobby Jain); Open Society Foundations","named_funders":[],"website":"jainfamilyinstitute.org","problem_statements":["Benefits Access","Tax & Revenue","Evidence Use"],"problem_areas":["Service Delivery","Domains","Test & Learn"],"degree":8},{"id":280,"name":"J-PAL North America","primary_segment":"Research","segments":["Research"],"focus":["Federal","State","City"],"description":"MIT-based research center running randomized evaluations in partnership with state and local governments. State and Local Innovation Initiative embeds affiliated researchers with government agencies to generate rigorous evidence across housing, criminal justice, workforce, health, and education. LEVER Evaluation Incubator (co-run with Results for America) provides government agencies with technical assistance and research connections. Twice-annual RFP cycles fund government-partnered evaluations. 1,100+ affiliated researchers at universities worldwide. Has partnered with 18+ US state and local governments since 2015.","funding_model":"Philanthropy","funding_detail":"Arnold Ventures, Gates Foundation, JPB Foundation, federal research grants","named_funders":["Arnold Ventures","Gates Foundation"],"website":"povertyactionlab.org/j-pal-north-america","problem_statements":["Evidence Use","Benefits Access","Criminal Justice","Housing & Land Use","Iterative Learning","Outcomes Measurement","Scaling What Works","Healthcare Access","Economic Mobility"],"problem_areas":["Test & Learn","Service Delivery","Domains"],"degree":11},{"id":281,"name":"Manhattan Institute","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Center-right think tank focused on urban policy and public-sector reform. Governance program promotes transparency, accountability, and evidence-based reforms. Published 'Digital Transformation: Wiring the Responsive City.' City Journal magazine covers urban governance and innovation. Cities Director John Ketcham leads governance work.","funding_model":"Philanthropy","funding_detail":"Conservative philanthropic base; individual and foundation donors","named_funders":[],"website":"manhattan.institute","problem_statements":["Regulatory & Administrative Burden","Transparency & Accountability","Outcomes Measurement","Housing & Land Use"],"problem_areas":["Procurement & Operations","Participatory Democracy","Test & Learn","Domains"],"degree":12},{"id":282,"name":"MDRC","primary_segment":"Research","segments":["Research"],"focus":["Federal","State","City"],"description":"MDRC (Manpower Demonstration Research Corporation) is a nonprofit research organization founded 1974, the gold standard for rigorous randomized controlled trial evaluation of social and education programs. Works directly with government agencies on program design and evaluation. Key node for evidence-based policy, outcomes measurement, and social program evaluation problem statements. Arnold Ventures multi-year strategic partner.","funding_model":"Government Contracts, Philanthropy","funding_detail":"Arnold Ventures (multi-year); Annie E. Casey, Rockefeller; government agency contracts","named_funders":["Arnold Ventures"],"website":"mdrc.org","problem_statements":["Outcomes Measurement","Benefits Access","Workforce Development","Evidence Use","Criminal Justice"],"problem_areas":["Test & Learn","Service Delivery","Talent & Hiring","Domains"],"degree":9},{"id":283,"name":"Mercatus Center (George Mason University)","primary_segment":"Research","segments":["Research","Think Tank","University"],"focus":["Federal","State"],"description":"University-based research center. Regulatory reform, permitting modernization, and government process improvement research. Published influential work on regulatory accumulation and its effects on government capacity. Technology policy program.","funding_model":"University,Philanthropy","funding_detail":"George Mason University + Koch-affiliated and broad donor base","named_funders":[],"website":"mercatus.org","problem_statements":["Regulatory & Administrative Burden","Permitting & Licensing","Reaction Time"],"problem_areas":["Procurement & Operations","Domains"],"degree":10},{"id":284,"name":"MIT GOV/LAB","primary_segment":"Research","segments":["Research","University"],"focus":["Federal","State","City"],"description":"Research lab studying government innovation, political accountability, and institutional design using field experiments and design thinking.","funding_model":"University,Philanthropy","funding_detail":"MIT endowment + donor support","named_funders":[],"website":"mitgovlab.org","problem_statements":["Transparency & Accountability","Evidence Use","Iterative Learning","Democracy Infrastructure"],"problem_areas":["Participatory Democracy","Test & Learn"],"degree":8},{"id":285,"name":"National Association of Counties (NACo)","primary_segment":"Research","segments":["Advocacy","Ecosystems","Research"],"focus":["City"],"description":"The only national organization representing all 3,069 US county governments. Runs the County Tech Xchange peer network for county CIOs, published the AI County Compass governance guide (2024), and hosts regional AI forums. Complementary to NLC which covers municipalities; NACo covers the county layer of government.","funding_model":"Membership","funding_detail":"County member dues; corporate partnerships","named_funders":[],"website":"naco.org","problem_statements":["Data Integration","Scaling What Works","AI in Government"],"problem_areas":["Technology & Data","Test & Learn","Domains"],"degree":8},{"id":286,"name":"National Civic League","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["City"],"description":"Nonpartisan nonprofit (est. 1894) promoting civic engagement and government innovation. All-America City Award (oldest community recognition in US). Research on collaborative governance, civic infrastructure, and democratic innovation.","funding_model":"Philanthropy","funding_detail":"Foundation grants + membership + earned revenue","named_funders":[],"website":"nationalcivicleague.org","problem_statements":["Civic Engagement","Democracy Infrastructure"],"problem_areas":["Participatory Democracy"],"degree":10},{"id":287,"name":"National Conference of State Legislatures (NCSL)","primary_segment":"Research","segments":["Ecosystems","Research","Think Tank"],"focus":["State"],"description":"Bipartisan organization serving all 7,500+ state legislators and legislative staff across all 50 states, commonwealths, and territories. Produces nonpartisan policy research, technical assistance, and legislative tracking across every major issue area including technology, AI (tracked 450+ bills in 23 AI categories in 2024), cybersecurity, broadband, and digital government. Annual Legislative Summit and Fall Forum. Budget of ~$40M. Dual headquarters in Denver and DC.","funding_model":"Government","funding_detail":"State legislative appropriations (member dues) + federal grants + foundation grants","named_funders":[],"website":"ncsl.org","problem_statements":["Reaction Time","Scaling What Works","Transparency & Accountability","Broadband & Internet Connectivity"],"problem_areas":["Procurement & Operations","Test & Learn","Participatory Democracy","Domains"],"degree":8},{"id":288,"name":"National League of Cities (NLC)","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["City"],"description":"Membership organization and research body representing 19,000+ cities, towns, and villages - serving 90%+ of Americans. Annual State of Cities report (12th edition 2025) surveys mayors on top priorities. Publishes State and Local Fiscal Facts and digital government research. Partners with Beeck Center on digital services guidance for local governments. Hosts annual City Summit and State of GovTech conference (with CivStart) for city CIOs and elected officials. Advocates for federal policy supporting city capacity, broadband, and AI governance.","funding_model":"Government","funding_detail":"City membership dues + foundation grants + federal grants","named_funders":[],"website":"nlc.org","problem_statements":["Scaling What Works","Outcomes Measurement","Broadband & Internet Connectivity","Feedback Loops"],"problem_areas":["Test & Learn","Domains"],"degree":9},{"id":289,"name":"New America: Public Interest Technology","primary_segment":"Research","segments":["Advocacy","Fellowships","Research"],"focus":["Federal","State","City"],"description":"PIT program: fellowships, The Commons (procurement research), policy research. Co-convenes PIT University Network (PIT-UN): 63 institutions, $16M+ deployed.","funding_model":"Philanthropy","funding_detail":"Ford Foundation, Hewlett Foundation, Siegel Family Endowment","named_funders":["Ford Foundation","Hewlett Foundation"],"website":"newamerica.org/public-interest-technology","problem_statements":["Talent Pipeline","Procurement Reform","Expert Contribution","Evidence Use"],"problem_areas":["Talent & Hiring","Procurement & Operations","Test & Learn"],"degree":11},{"id":290,"name":"NGA Center for Best Practices","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["State"],"description":"The only R&D organization in the nation that directly serves governors. Develops innovative policy solutions through five divisions (economic/workforce, education, environment/energy/transportation, health, homeland security). Runs policy academies with cohorts of state teams on specific implementation challenges (SNAP E&T delivery, healthcare workforce, service-to-career pathways). Publishes 50-state analyses and provides direct TA to governors' offices. Annual budget ~$30M. Funded by state dues and federal grants.","funding_model":"Government","funding_detail":"State appropriations (population-based dues) + federal grants + foundation support","named_funders":[],"website":"nga.org/bestpractices","problem_statements":["Scaling What Works","Outcomes Measurement","Workforce Development","Healthcare Access","Public Health"],"problem_areas":["Test & Learn","Talent & Hiring","Domains"],"degree":10},{"id":291,"name":"Niskanen Center: Project on State Capacity","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Dedicated state capacity research initiative. Published 'The How We Need Now' capacity agenda. Policy research on civil service reform, digital modernization, product operating model, implementation-focused legislation.","funding_model":"Philanthropy","funding_detail":"Open Philanthropy, broad donor base","named_funders":["Open Philanthropy"],"website":"niskanencenter.org/policy/state-capacity","problem_statements":["Hiring Architecture","Regulatory & Administrative Burden","Procurement Reform","Iterative Learning"],"problem_areas":["Talent & Hiring","Procurement & Operations","Test & Learn"],"degree":11},{"id":292,"name":"Pew Charitable Trusts: Government Performance","primary_segment":"Research","segments":["Research"],"focus":["Federal","State"],"description":"Nonpartisan research organization with a dedicated Strengthen State Government program producing the definitive empirical research on state fiscal health, rainy day funds, tax policy, and government performance. Fiscal 50 platform tracks all 50 states on revenue, spending, and reserves. Also tracks state courts modernization and government accountability. Explicitly nonadvocacy - research is designed to inform rather than persuade policymakers.","funding_model":"Philanthropy","funding_detail":"$7B+ endowment; earned revenue from research contracts","named_funders":[],"website":"pew.org/en/topics/strengthen-state-government","problem_statements":["Outcomes Measurement","Tax & Revenue","Transparency & Accountability"],"problem_areas":["Test & Learn","Domains","Participatory Democracy"],"degree":9},{"id":293,"name":"Progressive Policy Institute (PPI)","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Center-left think tank (Third Way/New Democrat tradition). Technology and innovation policy program. Research on government digital transformation, broadband, AI policy, and building state capacity through technology. Founded by Democratic Leadership Council veterans.","funding_model":"Philanthropy","funding_detail":"Foundation grants + individual donors","named_funders":[],"website":"progressivepolicy.org","problem_statements":["Workforce Development","Benefits Access"],"problem_areas":["Talent & Hiring","Service Delivery"],"degree":15},{"id":294,"name":"R Street Institute","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Free-market think tank producing research on limited, effective government, regulatory reform, and tech policy.","funding_model":"Philanthropy","funding_detail":"Broad philanthropic base","named_funders":[],"website":"rstreet.org","problem_statements":["Regulatory & Administrative Burden","Criminal Justice","Data Security","Democracy Infrastructure","Permitting & Licensing"],"problem_areas":["Procurement & Operations","Domains","Technology & Data","Participatory Democracy"],"degree":12},{"id":295,"name":"RAND Corporation","primary_segment":"Research","segments":["Digital Services & Consulting","Research"],"focus":["Federal","State","City"],"description":"Nonpartisan research institute. Center on AI, Security & Technology (RAND CAST) researches transformative AI policy. Published work on scaling AI in state/local government, adaptive governance frameworks, and national AI strategy. Founding partner of PIT University Network. Also does direct government consulting.","funding_model":"Philanthropy,Government","funding_detail":"Open Philanthropy, government contracts, endowment, broad donor base","named_funders":["Open Philanthropy"],"website":"rand.org","problem_statements":["AI in Government","Scaling What Works"],"problem_areas":["Domains","Test & Learn"],"degree":9},{"id":296,"name":"RegLab (Stanford)","primary_segment":"Research","segments":["Digital Services & Consulting","Research","University"],"focus":["Federal","State","City"],"description":"The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University partners directly with government agencies to design, implement, and evaluate AI and data science solutions for core governance functions. Agency partners include IRS, EPA, DOL, and Santa Clara County. IRS audit disparity analysis is landmark work. Senate testimony on AI in government shaped the Biden AI Executive Order and OMB memorandum. Runs talent pipeline programs into public sector.","funding_model":"Philanthropy, Government Contracts","funding_detail":"Stanford Impact Labs (3.5M, 4-year); government agency partnerships","named_funders":[],"website":"reglab.stanford.edu","problem_statements":["AI in Government","Regulatory & Administrative Burden","Tax & Revenue"],"problem_areas":["Domains","Procurement & Operations"],"degree":8},{"id":297,"name":"Responsible AI Institute (RAI Institute)","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Independent nonprofit providing AI certification, conformity assessments, and responsible AI tools for government agencies. Develops standards and frameworks for trustworthy AI procurement and deployment.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants + certification revenue","named_funders":[],"website":"responsible.ai","problem_statements":["AI in Government","Procurement Reform"],"problem_areas":["Domains","Procurement & Operations"],"degree":10},{"id":298,"name":"Roosevelt Institute","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Left-of-center think tank focused on economic policy and government capacity research. Primary output is policy research on public investment, industrial policy, and government effectiveness. Student network is a separate affiliated entity.","funding_model":"Philanthropy","funding_detail":"Foundation grants","named_funders":[],"website":"rooseveltinstitute.org","problem_statements":["Outcomes Measurement","Economic Mobility"],"problem_areas":["Test & Learn","Domains"],"degree":14},{"id":299,"name":"Searchlight Institute","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"A Democratic-aligned policy think tank focused on reshaping the party's strategy toward broader, more electorally viable positions.","funding_model":"Philanthropy","funding_detail":"Philanthropic grants","named_funders":[],"website":"searchlightinstitute.org","problem_statements":["Democracy Infrastructure"],"problem_areas":["Participatory Democracy"],"degree":8},{"id":300,"name":"Stanford Digital Economy Lab","primary_segment":"Research","segments":["Research","University"],"focus":["Federal","State","City"],"description":"Research on technology's impact on economy, work, and institutions (Erik Brynjolfsson). Quantitative research on AI economics and labor markets.","funding_model":"University,Philanthropy","funding_detail":"Stanford endowment + donor support","named_funders":[],"website":"digitaleconomy.stanford.edu","problem_statements":["Workforce Development"],"problem_areas":["Talent & Hiring"],"degree":8},{"id":301,"name":"Stanford HAI (Human-Centered AI Institute)","primary_segment":"Research","segments":["Advocacy","Research","University"],"focus":["Federal","State","City"],"description":"The Stanford Institute for Human-Centered AI (HAI) studies AI's social, ethical, and governance implications. Publishes the annual AI Index report, the authoritative global benchmark for AI progress. Runs AI policy fellowship programs placing researchers with government agencies. Active engagement with Congress, OMB, and federal AI policy development.","funding_model":"Philanthropy, University","funding_detail":"Stanford University; HAI industry partners; foundation grants","named_funders":[],"website":"hai.stanford.edu","problem_statements":["AI in Government","Expert Contribution","Talent Pipeline"],"problem_areas":["Domains","Talent & Hiring"],"degree":11},{"id":302,"name":"The GovLab (NYU Tandon + Burnes Center at Northeastern)","primary_segment":"Research","segments":["Research","University"],"focus":["Federal","State","City"],"description":"Research lab studying how technology and data improve governance. Open data, data collaboratives, collective intelligence, and citizen engagement.","funding_model":"University,Philanthropy","funding_detail":"NYU, MacArthur Foundation, Knight Foundation","named_funders":["Knight Foundation","MacArthur Foundation"],"website":"thegovlab.org","problem_statements":["Transparency & Accountability","Civic Engagement","Data Integration","Outcomes Measurement"],"problem_areas":["Participatory Democracy","Technology & Data","Test & Learn"],"degree":14},{"id":303,"name":"Urban Institute","primary_segment":"Research","segments":["Research"],"focus":["Federal","State","City"],"description":"Nonpartisan research organization studying social and economic policy. Research on government finance, social safety net delivery, benefits modernization, and evidence-based policy implementation. Data tools and interactive dashboards for policymakers. Work on how government systems deliver (or fail to deliver) services.","funding_model":"Philanthropy,Government","funding_detail":"Foundation grants + government research contracts + endowment","named_funders":[],"website":"urban.org","problem_statements":["Benefits Access","Outcomes Measurement","Housing & Land Use","Workforce Development","Evidence Use"],"problem_areas":["Service Delivery","Test & Learn","Domains","Talent & Hiring"],"degree":11},{"id":304,"name":"Volcker Alliance","primary_segment":"Research","segments":["Research","Think Tank"],"focus":["Federal","State","City"],"description":"Research and ratings on government effectiveness, public finance, and government workforce. Government-to-University Initiative for MPA/MPP pipeline.","funding_model":"Philanthropy","funding_detail":"Volcker Foundation + donors","named_funders":[],"website":"volckeralliance.org","problem_statements":["Hiring Architecture","Tax & Revenue","Talent Pipeline","Outcomes Measurement","Transparency & Accountability"],"problem_areas":["Talent & Hiring","Domains","Test & Learn","Participatory Democracy"],"degree":11},{"id":305,"name":"Yale Tobin Center for Economic Policy","primary_segment":"Research","segments":["Research","Think Tank","University"],"focus":["Federal","State","City"],"description":"Domestic policy center providing direct technical assistance to governments and multi-university research partnerships on evidence-based policy.","funding_model":"University","funding_detail":"Yale endowment + donor support","named_funders":[],"website":"tobin.yale.edu","problem_statements":["Outcomes Measurement","Evidence Use","Healthcare Access","Education Delivery","Benefits Access"],"problem_areas":["Test & Learn","Domains","Service Delivery"],"degree":11},{"id":306,"name":"We the Doers","primary_segment":"Advocacy","segments":["Advocacy","Research"],"focus":["Federal"],"description":"A nonpartisan organization of former senior federal career civil servants producing practical reform recommendations for agency leaders, the executive branch, and Congress. Founded December 2025. Focused on removing structural barriers to effective service delivery.","funding_model":"VC-backed; Seed stage","funding_detail":"No public funding disclosure as of June 2026.","named_funders":[],"website":"https://wethedoers.org/","problem_statements":["Regulatory & Administrative Burden","Operational Excellence","Scaling What Works"],"problem_areas":["Procurement & Operations","Test & Learn"],"degree":8},{"id":307,"name":"ClearGov","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"Cloud budget cycle management software for local governments and school districts. Platform covers capital, personnel, and operating budgets with collaboration workflows, digital budget books, and financial reporting. Serves 2,000+ customers managing over $540 billion in budgets.","funding_model":"VC-backed; Growth stage","funding_detail":"$34.5M total raised; Series B (2024) led by Frontier Growth; prior investors include Kepha Partners and MassVentures","named_funders":[],"website":"cleargov.com","problem_statements":["Operational Excellence","Data Integration"],"problem_areas":["Procurement & Operations","Technology & Data"],"degree":16},{"id":308,"name":"DebtBook","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"Treasury management platform purpose-built for government and nonprofit finance teams. Automates GASB 87/96 compliance, ACFR note generation, debt tracking, and cash positioning in a single system. Used by 40% of the 250 largest U.S. municipalities and counties; 2,100+ customers nationwide.","funding_model":"Private","funding_detail":"Privately held; no publicly disclosed external funding; legal entity is Fifth Asset Inc.","named_funders":[],"website":"debtbook.com","problem_statements":["Operational Excellence","Legacy Systems","Data Integration"],"problem_areas":["Procurement & Operations","Technology & Data"],"degree":9},{"id":309,"name":"BondLink","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Cloud investor relations and debt management platform for municipal bond issuers. Enables state and local governments to communicate directly with investors, manage disclosure compliance, and execute bond sales. Clients include State of California, City of Chicago, and University of Texas. $34.1M raised.","funding_model":"VC-backed; Growth stage","funding_detail":"$34.1M total raised across 4 rounds; Series B (2021); investors include Intercontinental Exchange and Franklin Templeton","named_funders":[],"website":"bondlink.com","problem_statements":["Operational Excellence","Transparency & Accountability"],"problem_areas":["Procurement & Operations","Participatory Democracy"],"degree":10},{"id":310,"name":"Hazel","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"AI-powered procurement software for government agencies. Automates solicitation drafting, vendor matching, compliance checks, and proposal evaluation; procurement officers retain all final decisions. Contracts span school districts through the U.S. Navy. YC W2024; seed stage.","funding_model":"VC-backed; Seed stage","funding_detail":"Y Combinator (W2024); seed stage; total undisclosed","named_funders":[],"website":"hazelai.com","problem_statements":["Procurement Reform","Operational Excellence"],"problem_areas":["Procurement & Operations"],"degree":10},{"id":311,"name":"Cardinality.ai","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"Pre-built AI SaaS platform for Health and Human Services agencies covering child welfare, child support, SNAP, TANF, Medicaid, and workforce development. Low-code architecture enables agencies to modernize up to 50% faster than custom builds. Serves 5 states across 11 agencies; solutions reach 23M+ constituents. $26M raised.","funding_model":"VC-backed; Growth stage","funding_detail":"$26M raised across multiple rounds; Series B (April 2023) led by Boathouse Capital; prior investors include Attain Capital and BarronKent","named_funders":[],"website":"cardinality.ai","problem_statements":["Child Welfare","Healthcare Access","Economic Mobility","Benefits Access","Service Design","Legacy Systems","Operational Excellence"],"problem_areas":["Domains","Service Delivery","Technology & Data","Procurement & Operations"],"degree":8},{"id":312,"name":"Govstream.ai","primary_segment":"GovTech","segments":["GovTech"],"focus":["City"],"description":"AI copilot for permit technicians, planners, and reviewers. Sits atop existing permitting systems to answer staff questions, validate submitted documents, and pre-check applications against municipal codes before formal review. Live in Bellevue WA (30% reduction in routine inquiries) and Louisville KY. $4.9M raised.","funding_model":"VC-backed; Seed stage","funding_detail":"$4.9M total; $3.6M Seed (Dec 2025) led by 47th Street Partners; pre-seed from Nellore Capital and Ascend","named_funders":[],"website":"govstream.ai","problem_statements":["Operational Excellence","Permitting & Licensing","Housing & Land Use","Reaction Time"],"problem_areas":["Procurement & Operations","Domains"],"degree":9},{"id":313,"name":"Just Appraised","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"AI workflow software for county property tax assessors and clerks. Automates deed processing, ownership transfers, exemption management, and taxpayer communication. Serves 300+ counties across 30 states. Stanford Business School origin; YC-backed.","funding_model":"VC-backed; Seed stage","funding_detail":"Y Combinator-backed; seed stage; total undisclosed","named_funders":[],"website":"justappraised.com","problem_statements":["Operational Excellence","Tax & Revenue","Legacy Systems"],"problem_areas":["Procurement & Operations","Technology & Data","Domains"],"degree":14},{"id":314,"name":"Forerunner","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"AI-powered geospatial platform for government built-environment operations. Unifies floodplain compliance, code enforcement, permitting, infrastructure asset tracking, and grant management in one system with mobile field tools and automated reporting. Trusted by 190+ communities across 26 states including CA Dept. of Water Resources and FL Division of Emergency Management. $39M raised.","funding_model":"VC-backed; Growth stage","funding_detail":"$39M total; $26.3M Series B (Feb 2026) led by Wellington Management; prior investors include Gutter Capital","named_funders":[],"website":"withforerunner.com","problem_statements":["Permitting & Licensing","Physical Infrastructure","Crisis Response","Housing & Land Use","Data Integration","Operational Excellence"],"problem_areas":["Procurement & Operations","Technology & Data","Domains"],"degree":14},{"id":315,"name":"Deckard Technologies","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"AI platform for short-term and long-term rental compliance. Scans 15M+ listings across 10,000+ rental websites daily to identify unregistered properties, automate permit tracking, collect occupancy taxes, and streamline enforcement. Used by 400+ jurisdictions in the U.S., Canada, and Australia; average client STR compliance rate of 95%. $3.5M raised.","funding_model":"VC-backed; Early stage","funding_detail":"$3.5M raised; $3M Series A (June 2023)","named_funders":[],"website":"deckard.com","problem_statements":["Housing & Land Use","Tax & Revenue","Operational Excellence","Regulatory & Administrative Burden"],"problem_areas":["Procurement & Operations","Domains"],"degree":9},{"id":316,"name":"Aclima","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"Block-by-block air quality and greenhouse gas measurement platform for government environmental agencies. Deploys vehicle-mounted sensor networks to map pollution at 100,000x greater resolution than traditional monitoring stations. Holds a $27M contract with California Air Resources Board; partners include NY State DEC and EPA. Public Benefit Corporation; $64M raised.","funding_model":"VC-backed; Growth stage","funding_detail":"$64M total; $40M Series B (2020); $13M additional round (Sept 2024); investors include Microsoft Climate Innovation Fund, Bosch Ventures, and Kapor Capital","named_funders":["Kapor Capital"],"website":"aclima.io","problem_statements":["Public Health","Data Integration","Physical Infrastructure"],"problem_areas":["Technology & Data","Domains"],"degree":9},{"id":317,"name":"Automotus","primary_segment":"GovTech","segments":["GovTech"],"focus":["City"],"description":"Computer vision platform for automated curb management. Cellular-enabled cameras monitor loading zones and curbside activity, automate commercial vehicle payments, enforce violations, and provide real-time analytics for city planners. Deployed in dozens of U.S. markets. $26M raised.","funding_model":"VC-backed; Growth stage","funding_detail":"$26M total; $9M equity round (Dec 2025) led by Santa Barbara Venture Partners and Weatherford Capital; $9M seed (2022) led by CityRock Venture Partners","named_funders":[],"website":"automotus.co","problem_statements":["Physical Infrastructure","Operational Excellence"],"problem_areas":["Technology & Data","Domains"],"degree":11},{"id":318,"name":"DeepWalk","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"iPhone LiDAR-based software for municipalities to assess sidewalk systems for ADA compliance. Staff scan with a mobile app; the platform generates 3D models, compliance reports, and construction documents needed for ADA transition plans. Serves cities, counties, and universities across the U.S. $1.8M raised.","funding_model":"VC-backed; Seed stage","funding_detail":"$1.8M total; $1.4M Seed (2023) from CEAS Investments","named_funders":[],"website":"deepwalkresearch.com","problem_statements":["Physical Infrastructure","Operational Excellence","Regulatory & Administrative Burden"],"problem_areas":["Procurement & Operations","Domains"],"degree":10},{"id":319,"name":"Ontra Mobility","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"AI transit planning and dispatch platform for cities and agencies, built by former Google engineers with PhDs in operations research. Forecasts demand, optimizes fixed-route networks, integrates on-demand zones, and dispatches in real time; powered MARTA Reach (Atlanta) and CAT SMART (Savannah). YC S24; selected for 2026 Transit Tech Lab proof of concept with MTA NYCT and LIRR.","funding_model":"VC-backed; Seed stage","funding_detail":"Y Combinator (S24); $500K raised","named_funders":[],"website":"ontramobility.com","problem_statements":["Physical Infrastructure","Operational Excellence","Outcomes Measurement","Data Integration"],"problem_areas":["Technology & Data","Domains","Procurement & Operations"],"degree":12},{"id":320,"name":"Waypoint Transit","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"AI city planner that generates civil infrastructure studies and transportation planning reports for municipalities and transit agencies. Automates GIS analysis, data collection, and report generation to reduce planning timelines from years to months at 30% of traditional consultant cost. Live in 10+ municipalities including Duluth MN and MN DOT. YC W25; $500K raised.","funding_model":"VC-backed; Seed stage","funding_detail":"Y Combinator (W2025); $500K raised","named_funders":[],"website":"waypointtransit.com","problem_statements":["Physical Infrastructure","Operational Excellence","Reaction Time"],"problem_areas":["Procurement & Operations","Domains"],"degree":9},{"id":321,"name":"Waterly","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"Data management and regulatory compliance software for water and wastewater utilities. Replaces spreadsheets and clipboards with real-time operational data entry, chemical dosage calculation, regulatory report generation, and SCADA integration. Designed by water operators; serves rural communities through large cities. $4M raised.","funding_model":"VC-backed; Growth stage","funding_detail":"$4M raised; Series A (Aug 2025) led by Burnt Island Ventures; prior investors include Emerald Technology Ventures and CivStart","named_funders":[],"website":"waterly.app","problem_statements":["Physical Infrastructure","Operational Excellence","Regulatory & Administrative Burden","Data Integration"],"problem_areas":["Procurement & Operations","Technology & Data","Domains"],"degree":18},{"id":322,"name":"Mark43","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"Cloud records management system and computer-aided dispatch for law enforcement. Replaces legacy on-premise infrastructure with a CJIS-compliant integrated platform for incident tracking, reporting, evidence management, and inter-agency data sharing. Deployed by DOI across 6 law enforcement programs covering 3,000 officers and 850+ locations nationwide.","funding_model":"VC-backed; Growth stage","funding_detail":"Multiple rounds; $27M Series B led by General Catalyst and Spark Capital; investors include Goldman Sachs and Jeff Bezos; total undisclosed","named_funders":[],"website":"mark43.com","problem_statements":["Criminal Justice","Legacy Systems","Operational Excellence","Data Integration"],"problem_areas":["Technology & Data","Domains","Procurement & Operations"],"degree":13},{"id":323,"name":"CivicEye","primary_segment":"GovTech","segments":["GovTech"],"focus":["State","City"],"description":"Cloud software for law enforcement, prosecutors, and courts on a unified platform. Covers records management (CivicRMS), digital evidence (CivicDocs), and case management (CivicCase). Adopted statewide by the Tennessee District Attorney General Conference; 150+ agencies nationwide. $12.4M raised.","funding_model":"VC-backed; Growth stage","funding_detail":"$12.4M Series A (July 2022) led by Cercano Management; participation from Relevance Ventures","named_funders":[],"website":"civiceye.com","problem_statements":["Criminal Justice","Legacy Systems","Operational Excellence","Data Integration"],"problem_areas":["Technology & Data","Domains"],"degree":9},{"id":324,"name":"Ordinal","primary_segment":"GovTech","segments":["GovTech"],"focus":["City"],"description":"AI research assistant for local government staff. Uses retrieval-augmented generation against approved internal documents -- municipal codes, ordinances, GIS data, and meeting minutes -- to provide fast, source-cited answers without training on external data. Live in cities across Arkansas, Oklahoma, Missouri, and California. $1M raised.","funding_model":"VC-backed; Seed stage","funding_detail":"$1M Seed (Aug 2025) led by Plains Ventures; participation from Winrock International and The Venture Center Arkansas Fund","named_funders":[],"website":"ordinalforgov.com","problem_statements":["Operational Excellence","Data Integration","Legacy Systems"],"problem_areas":["Technology & Data","Procurement & Operations"],"degree":11},{"id":325,"name":"GovGuard","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"AI agents for government FOIA and public records workflows. Automatically searches archived records, flags sensitive information for redaction, and drafts response letters for staff review; clerks retain full legal review authority over all disclosures. YC-backed; seed stage.","funding_model":"VC-backed; Seed stage","funding_detail":"Y Combinator-backed; seed stage; total undisclosed","named_funders":[],"website":"govguard.ai","problem_statements":["Transparency & Accountability","Operational Excellence"],"problem_areas":["Participatory Democracy","Procurement & Operations"],"degree":8},{"id":326,"name":"RapidSOS","primary_segment":"GovTech","segments":["GovTech"],"focus":["Federal","State","City"],"description":"Public safety AI platform connecting 600M+ devices and sensors to 22,000+ emergency agencies in real time. Gives 911 dispatchers location data, medical profiles, and contextual intelligence from connected devices and cameras via its HARMONY AI system. Has supported over one billion emergencies. $450M+ raised; $1B valuation as of November 2025.","funding_model":"VC-backed; Growth stage","funding_detail":"$450M+ raised across multiple rounds; $100M round (Nov 2025) led by Apax Digital at $1B valuation; prior investors include Highland Capital Partners, Insight Partners, BlackRock, and NightDragon","named_funders":[],"website":"rapidsos.com","problem_statements":["Crisis Response","Data Integration"],"problem_areas":["Technology & Data","Domains"],"degree":8},{"id":327,"name":"Swiftly","primary_segment":"GovTech","segments":["GovTech"],"focus":["City","State"],"description":"Real-time transit data platform for transit agencies. Provides operational analytics, on-time performance monitoring, schedule optimization, and real-time passenger information. Works with nearly half of the top 50 U.S. transit agencies including MBTA, LA Metro, SEPTA, and MDOT MTA. 2025 strategic investment from Cove Hill Partners with JMI Equity participation.","funding_model":"VC-backed; Growth stage","funding_detail":"$200M+ raised across multiple rounds; 2025 strategic investment led by Cove Hill Partners with JMI Equity; prior investors include Renewal Funds, Ford Smart Mobility, and Samsung NEXT","named_funders":[],"website":"goswiftly.com","problem_statements":["Physical Infrastructure","Operational Excellence","Outcomes Measurement","Data Integration"],"problem_areas":["Technology & Data","Domains","Procurement & Operations"],"degree":14},{"id":328,"name":"The Callimachus Project","primary_segment":"Capacity Building","segments":["Capacity Building"],"focus":["Federal"],"description":"Nonprofit using AI to capture institutional knowledge from departing federal civil servants. Conducts long-form interviews with former employees, then summarizes, stores, and analyzes the knowledge to build a free, searchable AI chatbot database intended for Hill staff and transition teams working to rebuild civil service capacity.","funding_model":"Philanthropy","funding_detail":"Private philanthropy via fiscal sponsor has funded founding and early proof of concept; seeking further philanthropic funding to build out AI interview-collection process and chatbot database/interface.","named_funders":[],"website":"https://www.thecallimachusproject.org/","problem_statements":["Workforce Development","AI in Government"],"problem_areas":["Talent & Hiring"],"degree":8}],"edges":[{"source":49,"target":58,"weight":0.8153,"desc":0.5383,"prob":1.0,"fund":1.0,"seg":1.0},{"source":50,"target":58,"weight":0.7789,"desc":0.4474,"prob":1.0,"fund":1.0,"seg":1.0},{"source":137,"target":160,"weight":0.7669,"desc":0.736,"prob":1.0,"fund":0.15,"seg":1.0},{"source":49,"target":50,"weight":0.7428,"desc":0.3569,"prob":1.0,"fund":1.0,"seg":1.0},{"source":76,"target":89,"weight":0.7131,"desc":0.7516,"prob":0.8,"fund":0.15,"seg":1.0},{"source":54,"target":67,"weight":0.7054,"desc":0.6384,"prob":1.0,"fund":0.0,"seg":1.0},{"source":52,"target":65,"weight":0.7012,"desc":0.5529,"prob":0.6,"fund":1.0,"seg":1.0},{"source":7,"target":73,"weight":0.687,"desc":0.5363,"prob":1.0,"fund":0.15,"seg":1.0},{"source":30,"target":33,"weight":0.6808,"desc":0.5207,"prob":1.0,"fund":0.15,"seg":1.0},{"source":33,"target":43,"weight":0.6708,"desc":0.4959,"prob":1.0,"fund":0.15,"seg":1.0},{"source":58,"target":65,"weight":0.6684,"desc":0.5459,"prob":1.0,"fund":0.0,"seg":1.0},{"source":153,"target":172,"weight":0.6623,"desc":0.4744,"prob":1.0,"fund":0.15,"seg":1.0},{"source":155,"target":160,"weight":0.6557,"desc":0.458,"prob":1.0,"fund":0.15,"seg":1.0},{"source":1,"target":7,"weight":0.651,"desc":0.4462,"prob":1.0,"fund":0.15,"seg":1.0},{"source":93,"target":94,"weight":0.6464,"desc":0.6222,"prob":0.75,"fund":0.15,"seg":1.0},{"source":50,"target":65,"weight":0.645,"desc":0.4876,"prob":1.0,"fund":0.0,"seg":1.0},{"source":249,"target":254,"weight":0.6435,"desc":0.4274,"prob":1.0,"fund":0.15,"seg":1.0},{"source":1,"target":73,"weight":0.6382,"desc":0.4143,"prob":1.0,"fund":0.15,"seg":1.0},{"source":30,"target":43,"weight":0.6381,"desc":0.4139,"prob":1.0,"fund":0.15,"seg":1.0},{"source":137,"target":155,"weight":0.6378,"desc":0.4133,"prob":1.0,"fund":0.15,"seg":1.0},{"source":49,"target":65,"weight":0.6278,"desc":0.4445,"prob":1.0,"fund":0.0,"seg":1.0},{"source":35,"target":45,"weight":0.6268,"desc":0.3857,"prob":1.0,"fund":0.15,"seg":1.0},{"source":124,"target":132,"weight":0.6262,"desc":0.3844,"prob":1.0,"fund":0.15,"seg":1.0},{"source":124,"target":156,"weight":0.6239,"desc":0.6284,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":34,"target":45,"weight":0.6212,"desc":0.3717,"prob":1.0,"fund":0.15,"seg":1.0},{"source":55,"target":65,"weight":0.6199,"desc":0.4997,"prob":0.4,"fund":1.0,"seg":1.0},{"source":159,"target":172,"weight":0.6121,"desc":0.5989,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":109,"target":116,"weight":0.6086,"desc":0.3403,"prob":1.0,"fund":0.15,"seg":1.0},{"source":322,"target":323,"weight":0.6077,"desc":0.338,"prob":1.0,"fund":0.15,"seg":1.0},{"source":201,"target":204,"weight":0.6071,"desc":0.524,"prob":0.75,"fund":0.15,"seg":1.0},{"source":65,"target":68,"weight":0.6004,"desc":0.451,"prob":0.4,"fund":1.0,"seg":1.0},{"source":90,"target":95,"weight":0.6003,"desc":0.3758,"prob":1.0,"fund":0.0,"seg":1.0},{"source":125,"target":156,"weight":0.5989,"desc":0.3159,"prob":1.0,"fund":0.15,"seg":1.0},{"source":84,"target":94,"weight":0.5969,"desc":0.4984,"prob":0.75,"fund":0.15,"seg":1.0},{"source":231,"target":240,"weight":0.5936,"desc":0.4341,"prob":0.4,"fund":1.0,"seg":1.0},{"source":81,"target":90,"weight":0.5921,"desc":0.2989,"prob":1.0,"fund":0.15,"seg":1.0},{"source":234,"target":237,"weight":0.5896,"desc":0.5428,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":31,"target":32,"weight":0.5856,"desc":0.2828,"prob":1.0,"fund":0.15,"seg":1.0},{"source":52,"target":54,"weight":0.5805,"desc":0.5137,"prob":0.75,"fund":0.0,"seg":1.0},{"source":153,"target":159,"weight":0.5773,"desc":0.5121,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":55,"target":68,"weight":0.5767,"desc":0.3168,"prob":0.5,"fund":1.0,"seg":1.0},{"source":29,"target":44,"weight":0.5766,"desc":0.2603,"prob":1.0,"fund":0.15,"seg":1.0},{"source":114,"target":117,"weight":0.5667,"desc":0.2354,"prob":1.0,"fund":0.15,"seg":1.0},{"source":34,"target":35,"weight":0.5629,"desc":0.2261,"prob":1.0,"fund":0.15,"seg":1.0},{"source":109,"target":114,"weight":0.5597,"desc":0.4056,"prob":1.0,"fund":0.15,"seg":0.5},{"source":42,"target":45,"weight":0.559,"desc":0.4662,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":97,"target":117,"weight":0.5556,"desc":0.2639,"prob":1.0,"fund":0.0,"seg":1.0},{"source":31,"target":45,"weight":0.5529,"desc":0.451,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":136,"target":159,"weight":0.5508,"desc":0.1957,"prob":1.0,"fund":0.15,"seg":1.0},{"source":38,"target":40,"weight":0.5501,"desc":0.2503,"prob":1.0,"fund":0.0,"seg":1.0},{"source":168,"target":170,"weight":0.5486,"desc":0.3402,"prob":0.8,"fund":0.15,"seg":1.0},{"source":98,"target":104,"weight":0.5477,"desc":0.1881,"prob":1.0,"fund":0.15,"seg":1.0},{"source":97,"target":109,"weight":0.5474,"desc":0.4309,"prob":1.0,"fund":0.0,"seg":0.5},{"source":97,"target":114,"weight":0.5469,"desc":0.2423,"prob":1.0,"fund":0.0,"seg":1.0},{"source":132,"target":133,"weight":0.5468,"desc":0.3731,"prob":0.75,"fund":0.15,"seg":1.0},{"source":101,"target":107,"weight":0.5463,"desc":0.4282,"prob":1.0,"fund":0.0,"seg":0.5},{"source":81,"target":84,"weight":0.5446,"desc":0.4302,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":124,"target":133,"weight":0.5433,"desc":0.3645,"prob":0.75,"fund":0.15,"seg":1.0},{"source":52,"target":67,"weight":0.5426,"desc":0.4191,"prob":0.75,"fund":0.0,"seg":1.0},{"source":81,"target":95,"weight":0.5407,"desc":0.2268,"prob":1.0,"fund":0.0,"seg":1.0},{"source":175,"target":311,"weight":0.5403,"desc":0.3839,"prob":0.7143,"fund":0.15,"seg":1.0},{"source":319,"target":327,"weight":0.5403,"desc":0.2257,"prob":1.0,"fund":0.0,"seg":1.0},{"source":52,"target":58,"weight":0.5398,"desc":0.5245,"prob":0.6,"fund":0.0,"seg":1.0},{"source":257,"target":263,"weight":0.5392,"desc":0.2229,"prob":1.0,"fund":0.3333,"seg":0.6667},{"source":28,"target":45,"weight":0.5389,"desc":0.4159,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":2,"target":3,"weight":0.5249,"desc":0.2561,"prob":1.0,"fund":0.15,"seg":0.6667},{"source":156,"target":165,"weight":0.524,"desc":0.3788,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":32,"target":45,"weight":0.5239,"desc":0.3785,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":43,"target":45,"weight":0.5221,"desc":0.499,"prob":0.5,"fund":0.15,"seg":1.0},{"source":37,"target":45,"weight":0.5214,"desc":0.3723,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":52,"target":68,"weight":0.5214,"desc":0.4285,"prob":0.1667,"fund":1.0,"seg":1.0},{"source":109,"target":117,"weight":0.5206,"desc":0.3077,"prob":1.0,"fund":0.15,"seg":0.5},{"source":98,"target":101,"weight":0.5204,"desc":0.176,"prob":1.0,"fund":0.0,"seg":1.0},{"source":54,"target":63,"weight":0.5189,"desc":0.5472,"prob":0.5,"fund":0.0,"seg":1.0},{"source":101,"target":104,"weight":0.5181,"desc":0.1701,"prob":1.0,"fund":0.0,"seg":1.0},{"source":99,"target":102,"weight":0.5178,"desc":0.1695,"prob":1.0,"fund":0.0,"seg":1.0},{"source":84,"target":90,"weight":0.5176,"desc":0.3628,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":77,"target":78,"weight":0.5172,"desc":0.4181,"prob":0.5,"fund":1.0,"seg":0.3333},{"source":124,"target":125,"weight":0.5143,"desc":0.3545,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":1,"target":11,"weight":0.5127,"desc":0.5381,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":3,"target":39,"weight":0.5122,"desc":0.2868,"prob":1.0,"fund":0.15,"seg":0.5},{"source":45,"target":46,"weight":0.5071,"desc":0.3364,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":104,"target":107,"weight":0.5071,"desc":0.3301,"prob":1.0,"fund":0.0,"seg":0.5},{"source":63,"target":67,"weight":0.5069,"desc":0.5173,"prob":0.5,"fund":0.0,"seg":1.0},{"source":50,"target":52,"weight":0.5057,"desc":0.4392,"prob":0.6,"fund":0.0,"seg":1.0},{"source":134,"target":153,"weight":0.5039,"desc":0.641,"prob":0.25,"fund":0.15,"seg":1.0},{"source":5,"target":263,"weight":0.5032,"desc":0.2579,"prob":0.75,"fund":0.5,"seg":0.6667},{"source":138,"target":153,"weight":0.5028,"desc":0.3259,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":102,"target":114,"weight":0.5024,"desc":0.3186,"prob":1.0,"fund":0.0,"seg":0.5},{"source":81,"target":94,"weight":0.5016,"desc":0.4478,"prob":0.5,"fund":0.15,"seg":1.0},{"source":59,"target":67,"weight":0.5007,"desc":0.4455,"prob":0.75,"fund":0.15,"seg":0.5},{"source":211,"target":218,"weight":0.5002,"desc":0.2567,"prob":0.75,"fund":0.15,"seg":1.0},{"source":159,"target":171,"weight":0.5,"desc":0.2563,"prob":0.75,"fund":0.15,"seg":1.0},{"source":114,"target":116,"weight":0.499,"desc":0.2537,"prob":1.0,"fund":0.15,"seg":0.5},{"source":251,"target":255,"weight":0.4989,"desc":0.1221,"prob":1.0,"fund":0.0,"seg":1.0},{"source":308,"target":324,"weight":0.4986,"desc":0.1214,"prob":1.0,"fund":0.0,"seg":1.0},{"source":144,"target":159,"weight":0.4981,"desc":0.2516,"prob":0.75,"fund":0.15,"seg":1.0},{"source":52,"target":55,"weight":0.4977,"desc":0.3692,"prob":0.1667,"fund":1.0,"seg":1.0},{"source":30,"target":45,"weight":0.4973,"desc":0.437,"prob":0.5,"fund":0.15,"seg":1.0},{"source":121,"target":150,"weight":0.4971,"desc":0.2114,"prob":0.8,"fund":0.15,"seg":1.0},{"source":33,"target":45,"weight":0.4954,"desc":0.4323,"prob":0.5,"fund":0.15,"seg":1.0},{"source":182,"target":194,"weight":0.4954,"desc":0.2636,"prob":0.8,"fund":0.0,"seg":1.0},{"source":148,"target":159,"weight":0.4945,"desc":0.2426,"prob":0.75,"fund":0.15,"seg":1.0},{"source":58,"target":70,"weight":0.4937,"desc":0.377,"prob":0.1429,"fund":1.0,"seg":1.0},{"source":154,"target":173,"weight":0.4933,"desc":0.202,"prob":0.8,"fund":0.15,"seg":1.0},{"source":84,"target":93,"weight":0.4931,"desc":0.4264,"prob":0.5,"fund":0.15,"seg":1.0},{"source":49,"target":52,"weight":0.4921,"desc":0.4054,"prob":0.6,"fund":0.0,"seg":1.0},{"source":125,"target":132,"weight":0.4917,"desc":0.2979,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":259,"target":271,"weight":0.4917,"desc":0.3479,"prob":0.6,"fund":0.15,"seg":1.0},{"source":39,"target":42,"weight":0.491,"desc":0.2963,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":0,"target":75,"weight":0.4905,"desc":0.4201,"prob":1.0,"fund":0.15,"seg":0.0},{"source":146,"target":152,"weight":0.4901,"desc":0.2314,"prob":0.75,"fund":0.15,"seg":1.0},{"source":101,"target":117,"weight":0.49,"desc":0.2562,"prob":0.6667,"fund":0.25,"seg":1.0},{"source":124,"target":165,"weight":0.489,"desc":0.4163,"prob":0.5,"fund":0.15,"seg":1.0},{"source":99,"target":115,"weight":0.4888,"desc":0.3469,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":116,"target":117,"weight":0.4884,"desc":0.2274,"prob":1.0,"fund":0.15,"seg":0.5},{"source":122,"target":162,"weight":0.4881,"desc":0.2264,"prob":1.0,"fund":0.15,"seg":0.5},{"source":125,"target":165,"weight":0.4874,"desc":0.2873,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":127,"target":134,"weight":0.4867,"desc":0.2229,"prob":0.75,"fund":0.15,"seg":1.0},{"source":54,"target":132,"weight":0.4858,"desc":0.4645,"prob":1.0,"fund":0.0,"seg":0.0},{"source":115,"target":117,"weight":0.4852,"desc":0.2755,"prob":1.0,"fund":0.0,"seg":0.5},{"source":2,"target":39,"weight":0.4846,"desc":0.2803,"prob":1.0,"fund":0.15,"seg":0.3333},{"source":99,"target":117,"weight":0.4846,"desc":0.2741,"prob":1.0,"fund":0.0,"seg":0.5},{"source":90,"target":94,"weight":0.4843,"desc":0.4045,"prob":0.5,"fund":0.15,"seg":1.0},{"source":104,"target":114,"weight":0.4805,"desc":0.3264,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":125,"target":159,"weight":0.4805,"desc":0.2699,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":132,"target":156,"weight":0.4805,"desc":0.27,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":234,"target":254,"weight":0.4804,"desc":0.4697,"prob":0.4,"fund":0.15,"seg":1.0},{"source":105,"target":117,"weight":0.4799,"desc":0.3872,"prob":0.5,"fund":0.6667,"seg":0.5},{"source":15,"target":289,"weight":0.4797,"desc":0.4618,"prob":0.4,"fund":0.6667,"seg":0.5},{"source":32,"target":36,"weight":0.4778,"desc":0.2008,"prob":0.75,"fund":0.15,"seg":1.0},{"source":115,"target":116,"weight":0.4774,"desc":0.3185,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":106,"target":265,"weight":0.4773,"desc":0.2557,"prob":1.0,"fund":0.0,"seg":0.5},{"source":31,"target":36,"weight":0.4772,"desc":0.1992,"prob":0.75,"fund":0.15,"seg":1.0},{"source":174,"target":321,"weight":0.4759,"desc":0.3085,"prob":0.6,"fund":0.15,"seg":1.0},{"source":35,"target":42,"weight":0.4756,"desc":0.2578,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":52,"target":63,"weight":0.4756,"desc":0.4578,"prob":0.4,"fund":0.15,"seg":1.0},{"source":131,"target":148,"weight":0.4748,"desc":0.1557,"prob":0.8,"fund":0.15,"seg":1.0},{"source":140,"target":165,"weight":0.4745,"desc":0.3799,"prob":0.5,"fund":0.15,"seg":1.0},{"source":125,"target":141,"weight":0.4744,"desc":0.2548,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":54,"target":124,"weight":0.4742,"desc":0.4355,"prob":1.0,"fund":0.0,"seg":0.0},{"source":309,"target":325,"weight":0.4733,"desc":0.0582,"prob":1.0,"fund":0.0,"seg":1.0},{"source":10,"target":54,"weight":0.4731,"desc":0.4326,"prob":0.75,"fund":0.0,"seg":0.5},{"source":99,"target":107,"weight":0.4719,"desc":0.3047,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":103,"target":109,"weight":0.4719,"desc":0.2486,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":136,"target":171,"weight":0.471,"desc":0.1837,"prob":0.75,"fund":0.15,"seg":1.0},{"source":141,"target":156,"weight":0.4707,"desc":0.2456,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":98,"target":107,"weight":0.4705,"desc":0.2387,"prob":1.0,"fund":0.0,"seg":0.5},{"source":137,"target":141,"weight":0.4705,"desc":0.5575,"prob":0.25,"fund":0.15,"seg":1.0},{"source":102,"target":109,"weight":0.4704,"desc":0.301,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":147,"target":151,"weight":0.4704,"desc":0.1823,"prob":1.0,"fund":0.15,"seg":0.5},{"source":135,"target":153,"weight":0.4699,"desc":0.5561,"prob":0.25,"fund":0.15,"seg":1.0},{"source":31,"target":34,"weight":0.4689,"desc":0.241,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":135,"target":141,"weight":0.4669,"desc":0.3609,"prob":0.5,"fund":0.15,"seg":1.0},{"source":109,"target":115,"weight":0.4668,"desc":0.2921,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":156,"target":159,"weight":0.4666,"desc":0.2351,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":97,"target":98,"weight":0.4665,"desc":0.2351,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":228,"target":254,"weight":0.4663,"desc":0.2346,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":62,"target":63,"weight":0.466,"desc":0.4149,"prob":0.75,"fund":0.0,"seg":0.5},{"source":34,"target":42,"weight":0.4659,"desc":0.2335,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":114,"target":115,"weight":0.4659,"desc":0.2272,"prob":1.0,"fund":0.0,"seg":0.5},{"source":32,"target":35,"weight":0.4655,"desc":0.2326,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":63,"target":68,"weight":0.4654,"desc":0.3571,"prob":0.5,"fund":0.15,"seg":1.0},{"source":31,"target":35,"weight":0.4644,"desc":0.2298,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":157,"target":161,"weight":0.4643,"desc":0.3545,"prob":0.5,"fund":0.15,"seg":1.0},{"source":138,"target":172,"weight":0.4642,"desc":0.2293,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":149,"target":152,"weight":0.4638,"desc":0.1656,"prob":0.75,"fund":0.15,"seg":1.0},{"source":174,"target":316,"weight":0.4631,"desc":0.164,"prob":0.75,"fund":0.15,"seg":1.0},{"source":144,"target":153,"weight":0.4627,"desc":0.3505,"prob":0.5,"fund":0.15,"seg":1.0},{"source":246,"target":254,"weight":0.4627,"desc":0.4756,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":34,"target":37,"weight":0.4622,"desc":0.2242,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":99,"target":116,"weight":0.462,"desc":0.2801,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":97,"target":102,"weight":0.4615,"desc":0.2163,"prob":1.0,"fund":0.0,"seg":0.5},{"source":29,"target":30,"weight":0.4612,"desc":0.3467,"prob":0.5,"fund":0.15,"seg":1.0},{"source":141,"target":160,"weight":0.4608,"desc":0.5332,"prob":0.25,"fund":0.15,"seg":1.0},{"source":0,"target":107,"weight":0.4605,"desc":0.2763,"prob":0.5,"fund":1.0,"seg":0.3333},{"source":121,"target":153,"weight":0.4605,"desc":0.3451,"prob":0.5,"fund":0.15,"seg":1.0},{"source":4,"target":12,"weight":0.4604,"desc":0.3446,"prob":0.75,"fund":0.15,"seg":0.5},{"source":213,"target":262,"weight":0.4604,"desc":0.401,"prob":1.0,"fund":0.0,"seg":0.0},{"source":67,"target":132,"weight":0.46,"desc":0.3999,"prob":1.0,"fund":0.0,"seg":0.0},{"source":5,"target":264,"weight":0.4598,"desc":0.2745,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":272,"target":274,"weight":0.4597,"desc":0.3966,"prob":0.4286,"fund":0.15,"seg":1.0},{"source":28,"target":35,"weight":0.4594,"desc":0.2173,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":153,"target":155,"weight":0.4591,"desc":0.4665,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":155,"target":164,"weight":0.459,"desc":0.4661,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":35,"target":37,"weight":0.4586,"desc":0.2152,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":36,"target":45,"weight":0.4586,"desc":0.3402,"prob":0.5,"fund":0.15,"seg":1.0},{"source":191,"target":195,"weight":0.4586,"desc":0.2714,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":49,"target":70,"weight":0.4581,"desc":0.288,"prob":0.1429,"fund":1.0,"seg":1.0},{"source":280,"target":282,"weight":0.458,"desc":0.2826,"prob":0.4,"fund":0.5,"seg":1.0},{"source":97,"target":101,"weight":0.4571,"desc":0.2677,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":28,"target":42,"weight":0.457,"desc":0.3362,"prob":0.5,"fund":0.15,"seg":1.0},{"source":58,"target":63,"weight":0.4568,"desc":0.4108,"prob":0.4,"fund":0.15,"seg":1.0},{"source":282,"target":303,"weight":0.4568,"desc":0.2671,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":67,"target":124,"weight":0.4563,"desc":0.3907,"prob":1.0,"fund":0.0,"seg":0.0},{"source":102,"target":107,"weight":0.4563,"desc":0.2658,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":54,"target":59,"weight":0.4562,"desc":0.3905,"prob":0.75,"fund":0.0,"seg":0.5},{"source":97,"target":115,"weight":0.4562,"desc":0.2029,"prob":1.0,"fund":0.0,"seg":0.5},{"source":99,"target":114,"weight":0.4562,"desc":0.203,"prob":1.0,"fund":0.0,"seg":0.5},{"source":132,"target":159,"weight":0.4556,"desc":0.3327,"prob":0.5,"fund":0.15,"seg":1.0},{"source":30,"target":44,"weight":0.4555,"desc":0.3325,"prob":0.5,"fund":0.15,"seg":1.0},{"source":129,"target":150,"weight":0.4555,"desc":0.1075,"prob":0.8,"fund":0.15,"seg":1.0},{"source":77,"target":225,"weight":0.4554,"desc":0.4448,"prob":0.6,"fund":0.15,"seg":0.5},{"source":20,"target":25,"weight":0.455,"desc":0.1999,"prob":1.0,"fund":0.0,"seg":0.5},{"source":97,"target":104,"weight":0.4548,"desc":0.2057,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":136,"target":153,"weight":0.4548,"desc":0.2058,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":35,"target":43,"weight":0.4547,"desc":0.3306,"prob":0.5,"fund":0.15,"seg":1.0},{"source":147,"target":148,"weight":0.4547,"desc":0.1429,"prob":0.75,"fund":0.15,"seg":1.0},{"source":4,"target":231,"weight":0.4545,"desc":0.3301,"prob":1.0,"fund":0.15,"seg":0.0},{"source":97,"target":99,"weight":0.4543,"desc":0.1982,"prob":1.0,"fund":0.0,"seg":0.5},{"source":33,"target":42,"weight":0.454,"desc":0.4537,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":30,"target":42,"weight":0.4537,"desc":0.453,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":29,"target":33,"weight":0.4531,"desc":0.3265,"prob":0.5,"fund":0.15,"seg":1.0},{"source":49,"target":55,"weight":0.4526,"desc":0.4564,"prob":0.4,"fund":0.0,"seg":1.0},{"source":193,"target":200,"weight":0.4521,"desc":0.199,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":131,"target":159,"weight":0.4519,"desc":0.2485,"prob":0.6,"fund":0.15,"seg":1.0},{"source":146,"target":150,"weight":0.4515,"desc":0.0975,"prob":0.8,"fund":0.15,"seg":1.0},{"source":277,"target":297,"weight":0.4514,"desc":0.1972,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":135,"target":165,"weight":0.451,"desc":0.3213,"prob":0.5,"fund":0.15,"seg":1.0},{"source":35,"target":46,"weight":0.4503,"desc":0.1945,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":224,"target":235,"weight":0.4501,"desc":0.319,"prob":0.5,"fund":0.15,"seg":1.0},{"source":141,"target":144,"weight":0.4499,"desc":0.1311,"prob":0.75,"fund":0.15,"seg":1.0},{"source":107,"target":114,"weight":0.4496,"desc":0.3803,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":101,"target":114,"weight":0.4489,"desc":0.1911,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":216,"target":231,"weight":0.4486,"desc":0.2965,"prob":0.6,"fund":1.0,"seg":0.0},{"source":32,"target":34,"weight":0.4485,"desc":0.1901,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":30,"target":35,"weight":0.4482,"desc":0.3143,"prob":0.5,"fund":0.15,"seg":1.0},{"source":28,"target":34,"weight":0.448,"desc":0.1887,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":28,"target":37,"weight":0.4477,"desc":0.313,"prob":0.5,"fund":0.15,"seg":1.0},{"source":42,"target":46,"weight":0.4476,"desc":0.3127,"prob":0.5,"fund":0.15,"seg":1.0},{"source":318,"target":321,"weight":0.4475,"desc":0.1814,"prob":0.75,"fund":0.0,"seg":1.0},{"source":188,"target":198,"weight":0.4469,"desc":0.2423,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":184,"target":319,"weight":0.4467,"desc":0.1418,"prob":0.8,"fund":0.0,"seg":1.0},{"source":50,"target":63,"weight":0.4465,"desc":0.3849,"prob":0.4,"fund":0.15,"seg":1.0},{"source":131,"target":136,"weight":0.4464,"desc":0.2347,"prob":0.6,"fund":0.15,"seg":1.0},{"source":99,"target":109,"weight":0.4463,"desc":0.2406,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":127,"target":163,"weight":0.4462,"desc":0.2344,"prob":0.6,"fund":0.15,"seg":1.0},{"source":56,"target":67,"weight":0.4461,"desc":0.3652,"prob":0.75,"fund":0.0,"seg":0.5},{"source":190,"target":310,"weight":0.4454,"desc":0.2385,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":10,"target":67,"weight":0.4451,"desc":0.3627,"prob":0.75,"fund":0.0,"seg":0.5},{"source":152,"target":166,"weight":0.4444,"desc":0.1173,"prob":0.75,"fund":0.15,"seg":1.0},{"source":102,"target":117,"weight":0.4439,"desc":0.1723,"prob":1.0,"fund":0.0,"seg":0.5},{"source":84,"target":95,"weight":0.4435,"desc":0.2337,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":121,"target":172,"weight":0.4432,"desc":0.3018,"prob":0.5,"fund":0.15,"seg":1.0},{"source":32,"target":42,"weight":0.443,"desc":0.3012,"prob":0.5,"fund":0.15,"seg":1.0},{"source":52,"target":124,"weight":0.4423,"desc":0.5433,"prob":0.75,"fund":0.0,"seg":0.0},{"source":135,"target":138,"weight":0.4423,"desc":0.2994,"prob":0.5,"fund":0.15,"seg":1.0},{"source":54,"target":56,"weight":0.4416,"desc":0.3541,"prob":0.75,"fund":0.0,"seg":0.5},{"source":33,"target":44,"weight":0.4413,"desc":0.2971,"prob":0.5,"fund":0.15,"seg":1.0},{"source":50,"target":70,"weight":0.4402,"desc":0.2433,"prob":0.1429,"fund":1.0,"seg":1.0},{"source":97,"target":116,"weight":0.4402,"desc":0.1631,"prob":1.0,"fund":0.0,"seg":0.5},{"source":5,"target":269,"weight":0.4397,"desc":0.2368,"prob":0.4,"fund":1.0,"seg":0.5},{"source":34,"target":46,"weight":0.4392,"desc":0.1668,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":175,"target":179,"weight":0.4382,"desc":0.4079,"prob":0.6667,"fund":0.0,"seg":0.5},{"source":63,"target":65,"weight":0.4379,"desc":0.3634,"prob":0.4,"fund":0.15,"seg":1.0},{"source":7,"target":11,"weight":0.4374,"desc":0.3498,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":149,"target":173,"weight":0.4366,"desc":0.2102,"prob":0.6,"fund":0.15,"seg":1.0},{"source":134,"target":154,"weight":0.4361,"desc":0.2089,"prob":0.6,"fund":0.15,"seg":1.0},{"source":98,"target":117,"weight":0.4359,"desc":0.2149,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":136,"target":148,"weight":0.4356,"desc":0.0951,"prob":0.75,"fund":0.15,"seg":1.0},{"source":216,"target":240,"weight":0.4355,"desc":0.3388,"prob":0.5,"fund":1.0,"seg":0.0},{"source":184,"target":327,"weight":0.4354,"desc":0.1135,"prob":0.8,"fund":0.0,"seg":1.0},{"source":124,"target":141,"weight":0.4353,"desc":0.2819,"prob":0.5,"fund":0.15,"seg":1.0},{"source":127,"target":154,"weight":0.4353,"desc":0.2819,"prob":0.5,"fund":0.15,"seg":1.0},{"source":308,"target":322,"weight":0.4353,"desc":0.1509,"prob":0.75,"fund":0.0,"seg":1.0},{"source":153,"target":171,"weight":0.4352,"desc":0.2817,"prob":0.5,"fund":0.15,"seg":1.0},{"source":30,"target":39,"weight":0.4351,"desc":0.2816,"prob":0.5,"fund":0.15,"seg":1.0},{"source":33,"target":35,"weight":0.4351,"desc":0.2815,"prob":0.5,"fund":0.15,"seg":1.0},{"source":39,"target":43,"weight":0.435,"desc":0.2812,"prob":0.5,"fund":0.15,"seg":1.0},{"source":11,"target":73,"weight":0.4349,"desc":0.3435,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":121,"target":163,"weight":0.4346,"desc":0.2052,"prob":0.6,"fund":0.15,"seg":1.0},{"source":141,"target":165,"weight":0.4345,"desc":0.2799,"prob":0.5,"fund":0.15,"seg":1.0},{"source":31,"target":42,"weight":0.4343,"desc":0.2795,"prob":0.5,"fund":0.15,"seg":1.0},{"source":79,"target":91,"weight":0.434,"desc":0.2412,"prob":1.0,"fund":0.0,"seg":0.25},{"source":132,"target":151,"weight":0.434,"desc":0.4661,"prob":0.5,"fund":0.15,"seg":0.5},{"source":29,"target":43,"weight":0.4339,"desc":0.2785,"prob":0.5,"fund":0.15,"seg":1.0},{"source":28,"target":32,"weight":0.4338,"desc":0.2782,"prob":0.5,"fund":0.15,"seg":1.0},{"source":144,"target":172,"weight":0.4336,"desc":0.2778,"prob":0.5,"fund":0.15,"seg":1.0},{"source":18,"target":109,"weight":0.4335,"desc":0.4024,"prob":0.5,"fund":0.15,"seg":0.6667},{"source":43,"target":44,"weight":0.4332,"desc":0.2768,"prob":0.5,"fund":0.15,"seg":1.0},{"source":147,"target":156,"weight":0.4332,"desc":0.1519,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":136,"target":144,"weight":0.4327,"desc":0.088,"prob":0.75,"fund":0.15,"seg":1.0},{"source":121,"target":146,"weight":0.4326,"desc":0.2003,"prob":0.6,"fund":0.15,"seg":1.0},{"source":98,"target":114,"weight":0.4324,"desc":0.206,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":128,"target":157,"weight":0.4322,"desc":0.4618,"prob":0.5,"fund":0.15,"seg":0.5},{"source":163,"target":172,"weight":0.4321,"desc":0.2739,"prob":0.5,"fund":0.15,"seg":1.0},{"source":135,"target":140,"weight":0.4316,"desc":0.2727,"prob":0.5,"fund":0.15,"seg":1.0},{"source":155,"target":156,"weight":0.4313,"desc":0.3971,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":136,"target":172,"weight":0.4312,"desc":0.1467,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":24,"target":25,"weight":0.431,"desc":0.1964,"prob":0.6,"fund":0.15,"seg":1.0},{"source":184,"target":197,"weight":0.4309,"desc":0.2023,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":117,"target":289,"weight":0.43,"desc":0.3249,"prob":0.5,"fund":0.6667,"seg":0.3333},{"source":121,"target":171,"weight":0.43,"desc":0.1938,"prob":0.6,"fund":0.15,"seg":1.0},{"source":129,"target":155,"weight":0.4299,"desc":0.2684,"prob":0.5,"fund":0.15,"seg":1.0},{"source":136,"target":156,"weight":0.4298,"desc":0.1432,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":49,"target":63,"weight":0.4295,"desc":0.3425,"prob":0.4,"fund":0.15,"seg":1.0},{"source":103,"target":116,"weight":0.4288,"desc":0.1407,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":146,"target":149,"weight":0.4276,"desc":0.1877,"prob":0.6,"fund":0.15,"seg":1.0},{"source":257,"target":262,"weight":0.4275,"desc":0.1375,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":58,"target":131,"weight":0.4272,"desc":0.4679,"prob":0.8,"fund":0.0,"seg":0.0},{"source":37,"target":42,"weight":0.4271,"desc":0.2616,"prob":0.5,"fund":0.15,"seg":1.0},{"source":55,"target":63,"weight":0.4271,"desc":0.2614,"prob":0.5,"fund":0.15,"seg":1.0},{"source":144,"target":171,"weight":0.427,"desc":0.1863,"prob":0.6,"fund":0.15,"seg":1.0},{"source":34,"target":43,"weight":0.4267,"desc":0.2605,"prob":0.5,"fund":0.15,"seg":1.0},{"source":129,"target":146,"weight":0.4263,"desc":0.1844,"prob":0.6,"fund":0.15,"seg":1.0},{"source":125,"target":136,"weight":0.4253,"desc":0.1321,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":55,"target":58,"weight":0.4252,"desc":0.3881,"prob":0.4,"fund":0.0,"seg":1.0},{"source":128,"target":151,"weight":0.4251,"desc":0.3315,"prob":0.4,"fund":0.15,"seg":1.0},{"source":203,"target":212,"weight":0.4249,"desc":0.1873,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":33,"target":39,"weight":0.4248,"desc":0.2558,"prob":0.5,"fund":0.15,"seg":1.0},{"source":308,"target":323,"weight":0.4247,"desc":0.1243,"prob":0.75,"fund":0.0,"seg":1.0},{"source":2,"target":75,"weight":0.4243,"desc":0.3108,"prob":0.6667,"fund":0.0,"seg":0.6667},{"source":94,"target":95,"weight":0.424,"desc":0.3099,"prob":0.5,"fund":0.0,"seg":1.0},{"source":323,"target":324,"weight":0.4234,"desc":0.1209,"prob":0.75,"fund":0.0,"seg":1.0},{"source":246,"target":249,"weight":0.4231,"desc":0.4327,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":102,"target":115,"weight":0.423,"desc":0.1825,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":127,"target":171,"weight":0.4229,"desc":0.1759,"prob":0.6,"fund":0.15,"seg":1.0},{"source":148,"target":153,"weight":0.4228,"desc":0.2508,"prob":0.5,"fund":0.15,"seg":1.0},{"source":134,"target":135,"weight":0.4224,"desc":0.4748,"prob":0.2,"fund":0.15,"seg":1.0},{"source":259,"target":277,"weight":0.422,"desc":0.3238,"prob":0.4,"fund":0.15,"seg":1.0},{"source":138,"target":159,"weight":0.4215,"desc":0.2475,"prob":0.5,"fund":0.15,"seg":1.0},{"source":41,"target":43,"weight":0.4214,"desc":0.2471,"prob":0.5,"fund":0.15,"seg":1.0},{"source":236,"target":246,"weight":0.4212,"desc":0.1155,"prob":1.0,"fund":0.0,"seg":0.5},{"source":104,"target":117,"weight":0.421,"desc":0.1775,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":125,"target":147,"weight":0.4208,"desc":0.1209,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":143,"target":152,"weight":0.4201,"desc":0.1691,"prob":0.6,"fund":0.15,"seg":1.0},{"source":153,"target":163,"weight":0.4201,"desc":0.2439,"prob":0.5,"fund":0.15,"seg":1.0},{"source":148,"target":171,"weight":0.4195,"desc":0.1675,"prob":0.6,"fund":0.15,"seg":1.0},{"source":32,"target":46,"weight":0.4193,"desc":0.242,"prob":0.5,"fund":0.15,"seg":1.0},{"source":62,"target":67,"weight":0.4192,"desc":0.2981,"prob":0.75,"fund":0.0,"seg":0.5},{"source":128,"target":141,"weight":0.4188,"desc":0.2407,"prob":0.75,"fund":0.15,"seg":0.5},{"source":54,"target":62,"weight":0.4186,"desc":0.2964,"prob":0.75,"fund":0.0,"seg":0.5},{"source":133,"target":159,"weight":0.4186,"desc":0.3153,"prob":0.4,"fund":0.15,"seg":1.0},{"source":144,"target":148,"weight":0.4183,"desc":0.1644,"prob":0.6,"fund":0.15,"seg":1.0},{"source":102,"target":116,"weight":0.4176,"desc":0.1691,"prob":1.0,"fund":0.0,"seg":0.3333},{"source":163,"target":171,"weight":0.4169,"desc":0.161,"prob":0.6,"fund":0.15,"seg":1.0},{"source":271,"target":277,"weight":0.4166,"desc":0.3102,"prob":0.4,"fund":0.15,"seg":1.0},{"source":28,"target":31,"weight":0.4156,"desc":0.2327,"prob":0.5,"fund":0.15,"seg":1.0},{"source":105,"target":109,"weight":0.4155,"desc":0.2324,"prob":0.5,"fund":0.15,"seg":1.0},{"source":62,"target":132,"weight":0.4154,"desc":0.2885,"prob":0.75,"fund":0.0,"seg":0.5},{"source":171,"target":172,"weight":0.4154,"desc":0.2323,"prob":0.5,"fund":0.15,"seg":1.0},{"source":228,"target":249,"weight":0.4154,"desc":0.1073,"prob":0.6667,"fund":0.15,"seg":1.0},{"source":192,"target":197,"weight":0.4153,"desc":0.1632,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":18,"target":19,"weight":0.4152,"desc":0.2942,"prob":0.75,"fund":0.15,"seg":0.3333},{"source":268,"target":287,"weight":0.4149,"desc":0.2311,"prob":0.5,"fund":0.15,"seg":1.0},{"source":62,"target":124,"weight":0.4144,"desc":0.286,"prob":0.75,"fund":0.0,"seg":0.5},{"source":28,"target":46,"weight":0.4139,"desc":0.2284,"prob":0.5,"fund":0.15,"seg":1.0},{"source":212,"target":213,"weight":0.4138,"desc":0.1596,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":8,"target":9,"weight":0.4132,"desc":0.2267,"prob":0.5,"fund":0.15,"seg":1.0},{"source":29,"target":36,"weight":0.4132,"desc":0.2267,"prob":0.5,"fund":0.15,"seg":1.0},{"source":149,"target":166,"weight":0.4131,"desc":0.1515,"prob":0.6,"fund":0.15,"seg":1.0},{"source":50,"target":54,"weight":0.413,"desc":0.3574,"prob":0.4,"fund":0.0,"seg":1.0},{"source":100,"target":111,"weight":0.4127,"desc":0.3353,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":124,"target":155,"weight":0.4126,"desc":0.4128,"prob":0.25,"fund":0.15,"seg":1.0},{"source":321,"target":327,"weight":0.4126,"desc":0.1502,"prob":0.6,"fund":0.15,"seg":1.0},{"source":33,"target":46,"weight":0.4117,"desc":0.348,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":37,"target":46,"weight":0.411,"desc":0.2212,"prob":0.5,"fund":0.15,"seg":1.0},{"source":131,"target":171,"weight":0.4109,"desc":0.2211,"prob":0.5,"fund":0.15,"seg":1.0},{"source":148,"target":172,"weight":0.4108,"desc":0.2207,"prob":0.5,"fund":0.15,"seg":1.0},{"source":117,"target":249,"weight":0.4104,"desc":0.1824,"prob":1.0,"fund":0.25,"seg":0.0},{"source":125,"target":155,"weight":0.4101,"desc":0.344,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":213,"target":217,"weight":0.4101,"desc":0.3439,"prob":0.6667,"fund":0.15,"seg":0.3333},{"source":98,"target":111,"weight":0.4095,"desc":0.1986,"prob":0.6,"fund":0.0,"seg":1.0},{"source":30,"target":41,"weight":0.4091,"desc":0.2165,"prob":0.5,"fund":0.15,"seg":1.0},{"source":155,"target":157,"weight":0.4089,"desc":0.3409,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":159,"target":163,"weight":0.4088,"desc":0.2906,"prob":0.4,"fund":0.15,"seg":1.0},{"source":322,"target":324,"weight":0.4088,"desc":0.0844,"prob":0.75,"fund":0.0,"seg":1.0},{"source":129,"target":153,"weight":0.4086,"desc":0.2152,"prob":0.5,"fund":0.15,"seg":1.0},{"source":158,"target":168,"weight":0.4085,"desc":0.3756,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":194,"target":196,"weight":0.4085,"desc":0.1963,"prob":0.6,"fund":0.0,"seg":1.0},{"source":31,"target":46,"weight":0.4083,"desc":0.2146,"prob":0.5,"fund":0.15,"seg":1.0},{"source":228,"target":234,"weight":0.4083,"desc":0.3396,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":135,"target":173,"weight":0.408,"desc":0.2888,"prob":0.4,"fund":0.15,"seg":1.0},{"source":39,"target":45,"weight":0.4079,"desc":0.3385,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":132,"target":165,"weight":0.4076,"desc":0.2127,"prob":0.5,"fund":0.15,"seg":1.0},{"source":146,"target":163,"weight":0.4076,"desc":0.3378,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":101,"target":109,"weight":0.4073,"desc":0.2745,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":286,"target":299,"weight":0.4069,"desc":0.211,"prob":0.5,"fund":0.15,"seg":1.0},{"source":161,"target":165,"weight":0.4065,"desc":0.285,"prob":0.4,"fund":0.15,"seg":1.0},{"source":105,"target":289,"weight":0.406,"desc":0.2962,"prob":0.3333,"fund":1.0,"seg":0.25},{"source":121,"target":134,"weight":0.406,"desc":0.2837,"prob":0.4,"fund":0.15,"seg":1.0},{"source":31,"target":37,"weight":0.4059,"desc":0.2085,"prob":0.5,"fund":0.15,"seg":1.0},{"source":128,"target":144,"weight":0.4059,"desc":0.321,"prob":0.6,"fund":0.15,"seg":0.5},{"source":150,"target":173,"weight":0.4059,"desc":0.2086,"prob":0.5,"fund":0.15,"seg":1.0},{"source":164,"target":165,"weight":0.4059,"desc":0.3961,"prob":0.25,"fund":0.15,"seg":1.0},{"source":199,"target":310,"weight":0.4059,"desc":0.1397,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":152,"target":153,"weight":0.4056,"desc":0.3953,"prob":0.25,"fund":0.15,"seg":1.0},{"source":143,"target":171,"weight":0.4052,"desc":0.2067,"prob":0.5,"fund":0.15,"seg":1.0},{"source":138,"target":142,"weight":0.4051,"desc":0.2065,"prob":0.5,"fund":0.15,"seg":1.0},{"source":201,"target":219,"weight":0.4051,"desc":0.2816,"prob":0.4,"fund":0.15,"seg":1.0},{"source":156,"target":164,"weight":0.4048,"desc":0.3307,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":234,"target":249,"weight":0.4048,"desc":0.2809,"prob":0.4,"fund":0.15,"seg":1.0},{"source":57,"target":59,"weight":0.4045,"desc":0.3175,"prob":0.8,"fund":0.0,"seg":0.25},{"source":190,"target":199,"weight":0.4044,"desc":0.261,"prob":0.5,"fund":0.0,"seg":1.0},{"source":265,"target":295,"weight":0.4041,"desc":0.1978,"prob":0.3333,"fund":1.0,"seg":0.5},{"source":124,"target":164,"weight":0.4039,"desc":0.391,"prob":0.25,"fund":0.15,"seg":1.0},{"source":33,"target":41,"weight":0.4036,"desc":0.2028,"prob":0.5,"fund":0.15,"seg":1.0},{"source":133,"target":156,"weight":0.4036,"desc":0.2028,"prob":0.5,"fund":0.15,"seg":1.0},{"source":121,"target":127,"weight":0.4033,"desc":0.127,"prob":0.6,"fund":0.15,"seg":1.0},{"source":125,"target":151,"weight":0.4033,"desc":0.2645,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":234,"target":253,"weight":0.4033,"desc":0.2019,"prob":0.5,"fund":0.15,"seg":1.0},{"source":143,"target":149,"weight":0.403,"desc":0.2013,"prob":0.5,"fund":0.15,"seg":1.0},{"source":148,"target":151,"weight":0.403,"desc":0.2014,"prob":0.75,"fund":0.15,"seg":0.5},{"source":50,"target":67,"weight":0.4029,"desc":0.3322,"prob":0.4,"fund":0.0,"seg":1.0},{"source":135,"target":155,"weight":0.4028,"desc":0.3883,"prob":0.25,"fund":0.15,"seg":1.0},{"source":50,"target":131,"weight":0.4027,"desc":0.4068,"prob":0.8,"fund":0.0,"seg":0.0},{"source":113,"target":117,"weight":0.4026,"desc":0.2002,"prob":0.5,"fund":0.15,"seg":1.0},{"source":150,"target":171,"weight":0.4022,"desc":0.1993,"prob":0.5,"fund":0.15,"seg":1.0},{"source":108,"target":286,"weight":0.4021,"desc":0.3803,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":5,"target":257,"weight":0.4019,"desc":0.2234,"prob":0.75,"fund":0.25,"seg":0.3333},{"source":150,"target":152,"weight":0.4012,"desc":0.1217,"prob":0.6,"fund":0.15,"seg":1.0},{"source":62,"target":159,"weight":0.4007,"desc":0.2518,"prob":0.75,"fund":0.0,"seg":0.5},{"source":151,"target":196,"weight":0.4004,"desc":0.251,"prob":1.0,"fund":0.0,"seg":0.0},{"source":160,"target":164,"weight":0.4003,"desc":0.3196,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":12,"target":270,"weight":0.3998,"desc":0.512,"prob":0.4,"fund":0.0,"seg":0.5},{"source":49,"target":131,"weight":0.3998,"desc":0.3994,"prob":0.8,"fund":0.0,"seg":0.0},{"source":121,"target":129,"weight":0.3998,"desc":0.1183,"prob":0.6,"fund":0.15,"seg":1.0},{"source":29,"target":45,"weight":0.3995,"desc":0.3174,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":50,"target":55,"weight":0.3994,"desc":0.3235,"prob":0.4,"fund":0.0,"seg":1.0},{"source":104,"target":111,"weight":0.3994,"desc":0.1734,"prob":0.6,"fund":0.0,"seg":1.0},{"source":127,"target":153,"weight":0.3991,"desc":0.1914,"prob":0.5,"fund":0.15,"seg":1.0},{"source":180,"target":181,"weight":0.3991,"desc":0.1228,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":314,"target":321,"weight":0.3991,"desc":0.245,"prob":0.4286,"fund":0.15,"seg":1.0},{"source":76,"target":230,"weight":0.3989,"desc":0.5286,"prob":0.5,"fund":0.0,"seg":0.25},{"source":132,"target":147,"weight":0.3989,"desc":0.1911,"prob":0.5,"fund":0.15,"seg":1.0},{"source":55,"target":70,"weight":0.3988,"desc":0.322,"prob":0.4,"fund":0.0,"seg":1.0},{"source":35,"target":36,"weight":0.3987,"desc":0.1905,"prob":0.5,"fund":0.15,"seg":1.0},{"source":127,"target":152,"weight":0.3986,"desc":0.2651,"prob":0.4,"fund":0.15,"seg":1.0},{"source":131,"target":147,"weight":0.3985,"desc":0.115,"prob":0.6,"fund":0.15,"seg":1.0},{"source":307,"target":323,"weight":0.3985,"desc":0.1901,"prob":0.5,"fund":0.15,"seg":1.0},{"source":32,"target":37,"weight":0.3984,"desc":0.1896,"prob":0.5,"fund":0.15,"seg":1.0},{"source":50,"target":68,"weight":0.3974,"desc":0.3185,"prob":0.4,"fund":0.0,"seg":1.0},{"source":109,"target":249,"weight":0.3969,"desc":0.1861,"prob":1.0,"fund":0.15,"seg":0.0},{"source":54,"target":65,"weight":0.3968,"desc":0.317,"prob":0.4,"fund":0.0,"seg":1.0},{"source":101,"target":249,"weight":0.3966,"desc":0.3666,"prob":0.6667,"fund":0.3333,"seg":0.0},{"source":81,"target":93,"weight":0.3965,"desc":0.3724,"prob":0.25,"fund":0.15,"seg":1.0},{"source":98,"target":99,"weight":0.3955,"desc":0.3012,"prob":0.6667,"fund":0.0,"seg":0.5},{"source":137,"target":164,"weight":0.3955,"desc":0.3074,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":192,"target":326,"weight":0.3952,"desc":0.2569,"prob":0.4,"fund":0.15,"seg":1.0},{"source":101,"target":111,"weight":0.3947,"desc":0.1618,"prob":0.6,"fund":0.0,"seg":1.0},{"source":260,"target":304,"weight":0.3945,"desc":0.3407,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":139,"target":173,"weight":0.3943,"desc":0.2544,"prob":0.4,"fund":0.15,"seg":1.0},{"source":307,"target":321,"weight":0.3942,"desc":0.1793,"prob":0.5,"fund":0.15,"seg":1.0},{"source":151,"target":156,"weight":0.394,"desc":0.2413,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":183,"target":187,"weight":0.3937,"desc":0.1093,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":41,"target":45,"weight":0.3934,"desc":0.3021,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":143,"target":146,"weight":0.3934,"desc":0.1772,"prob":0.5,"fund":0.15,"seg":1.0},{"source":307,"target":322,"weight":0.3933,"desc":0.177,"prob":0.5,"fund":0.15,"seg":1.0},{"source":140,"target":161,"weight":0.3928,"desc":0.2508,"prob":0.4,"fund":0.15,"seg":1.0},{"source":36,"target":42,"weight":0.3926,"desc":0.2503,"prob":0.4,"fund":0.15,"seg":1.0},{"source":139,"target":152,"weight":0.3924,"desc":0.1748,"prob":0.5,"fund":0.15,"seg":1.0},{"source":237,"target":252,"weight":0.3923,"desc":0.2994,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":271,"target":297,"weight":0.3922,"desc":0.1743,"prob":0.5,"fund":0.15,"seg":1.0},{"source":192,"target":322,"weight":0.3918,"desc":0.1732,"prob":0.5,"fund":0.15,"seg":1.0},{"source":186,"target":286,"weight":0.3917,"desc":0.1731,"prob":1.0,"fund":0.15,"seg":0.0},{"source":36,"target":44,"weight":0.3914,"desc":0.1723,"prob":0.5,"fund":0.15,"seg":1.0},{"source":273,"target":276,"weight":0.3912,"desc":0.1529,"prob":0.6,"fund":0.0,"seg":1.0},{"source":6,"target":278,"weight":0.3908,"desc":0.2895,"prob":0.5,"fund":0.5,"seg":0.3333},{"source":42,"target":75,"weight":0.3906,"desc":0.4141,"prob":0.5,"fund":0.0,"seg":0.5},{"source":134,"target":173,"weight":0.3903,"desc":0.2445,"prob":0.4,"fund":0.15,"seg":1.0},{"source":125,"target":133,"weight":0.3901,"desc":0.169,"prob":0.5,"fund":0.15,"seg":1.0},{"source":6,"target":18,"weight":0.3898,"desc":0.2806,"prob":0.6,"fund":0.15,"seg":0.5},{"source":259,"target":297,"weight":0.3898,"desc":0.1683,"prob":0.5,"fund":0.15,"seg":1.0},{"source":44,"target":45,"weight":0.3897,"desc":0.2929,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":134,"target":155,"weight":0.3895,"desc":0.3549,"prob":0.25,"fund":0.15,"seg":1.0},{"source":175,"target":195,"weight":0.3889,"desc":0.2197,"prob":0.4286,"fund":0.15,"seg":1.0},{"source":147,"target":159,"weight":0.3887,"desc":0.1656,"prob":0.5,"fund":0.15,"seg":1.0},{"source":140,"target":156,"weight":0.3883,"desc":0.3521,"prob":0.25,"fund":0.15,"seg":1.0},{"source":34,"target":36,"weight":0.388,"desc":0.1637,"prob":0.5,"fund":0.15,"seg":1.0},{"source":20,"target":40,"weight":0.3879,"desc":0.2197,"prob":0.5,"fund":0.0,"seg":1.0},{"source":143,"target":144,"weight":0.3877,"desc":0.3237,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":318,"target":320,"weight":0.3876,"desc":0.1628,"prob":0.5,"fund":0.15,"seg":1.0},{"source":317,"target":327,"weight":0.3874,"desc":0.1623,"prob":0.5,"fund":0.15,"seg":1.0},{"source":125,"target":164,"weight":0.3873,"desc":0.287,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":105,"target":116,"weight":0.3869,"desc":0.1611,"prob":0.5,"fund":0.15,"seg":1.0},{"source":107,"target":117,"weight":0.3867,"desc":0.2792,"prob":0.6667,"fund":0.0,"seg":0.5},{"source":114,"target":249,"weight":0.3866,"desc":0.1602,"prob":1.0,"fund":0.15,"seg":0.0},{"source":307,"target":308,"weight":0.3865,"desc":0.0911,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":127,"target":143,"weight":0.3864,"desc":0.1598,"prob":0.5,"fund":0.15,"seg":1.0},{"source":0,"target":103,"weight":0.3863,"desc":0.1594,"prob":1.0,"fund":0.15,"seg":0.0},{"source":52,"target":62,"weight":0.3863,"desc":0.3282,"prob":0.6,"fund":0.0,"seg":0.5},{"source":138,"target":140,"weight":0.3861,"desc":0.159,"prob":0.5,"fund":0.15,"seg":1.0},{"source":58,"target":68,"weight":0.386,"desc":0.2901,"prob":0.4,"fund":0.0,"seg":1.0},{"source":114,"target":254,"weight":0.3858,"desc":0.1583,"prob":1.0,"fund":0.15,"seg":0.0},{"source":238,"target":251,"weight":0.3858,"desc":0.1581,"prob":0.5,"fund":0.15,"seg":1.0},{"source":75,"target":103,"weight":0.3852,"desc":0.1567,"prob":1.0,"fund":0.15,"seg":0.0},{"source":138,"target":165,"weight":0.3851,"desc":0.1566,"prob":0.5,"fund":0.15,"seg":1.0},{"source":192,"target":323,"weight":0.385,"desc":0.1562,"prob":0.5,"fund":0.15,"seg":1.0},{"source":68,"target":70,"weight":0.3847,"desc":0.2868,"prob":0.4,"fund":0.0,"seg":1.0},{"source":10,"target":52,"weight":0.3841,"desc":0.3226,"prob":0.6,"fund":0.0,"seg":0.5},{"source":18,"target":107,"weight":0.3841,"desc":0.2477,"prob":0.75,"fund":0.15,"seg":0.25},{"source":149,"target":150,"weight":0.3841,"desc":0.1539,"prob":0.5,"fund":0.15,"seg":1.0},{"source":124,"target":147,"weight":0.3835,"desc":0.1526,"prob":0.5,"fund":0.15,"seg":1.0},{"source":3,"target":42,"weight":0.3832,"desc":0.2143,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":307,"target":324,"weight":0.3832,"desc":0.083,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":265,"target":269,"weight":0.3828,"desc":0.082,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":206,"target":244,"weight":0.3826,"desc":0.1503,"prob":1.0,"fund":0.15,"seg":0.0},{"source":171,"target":173,"weight":0.3825,"desc":0.2751,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":205,"target":209,"weight":0.3822,"desc":0.1493,"prob":0.5,"fund":0.15,"seg":1.0},{"source":283,"target":294,"weight":0.3821,"desc":0.4553,"prob":0.3333,"fund":0.0,"seg":0.6667},{"source":22,"target":80,"weight":0.382,"desc":0.1299,"prob":1.0,"fund":0.0,"seg":0.2},{"source":146,"target":166,"weight":0.3818,"desc":0.0733,"prob":0.6,"fund":0.15,"seg":1.0},{"source":246,"target":247,"weight":0.3817,"desc":0.5229,"prob":0.25,"fund":0.15,"seg":0.5},{"source":139,"target":145,"weight":0.3816,"desc":0.1479,"prob":0.5,"fund":0.15,"seg":1.0},{"source":150,"target":172,"weight":0.3816,"desc":0.2228,"prob":0.4,"fund":0.15,"seg":1.0},{"source":103,"target":117,"weight":0.3815,"desc":0.2101,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":140,"target":155,"weight":0.3814,"desc":0.3347,"prob":0.25,"fund":0.15,"seg":1.0},{"source":52,"target":59,"weight":0.381,"desc":0.3149,"prob":0.6,"fund":0.0,"seg":0.5},{"source":227,"target":253,"weight":0.3805,"desc":0.2201,"prob":0.4,"fund":0.15,"seg":1.0},{"source":181,"target":307,"weight":0.3804,"desc":0.076,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":317,"target":318,"weight":0.3803,"desc":0.0758,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":181,"target":197,"weight":0.3802,"desc":0.1256,"prob":0.6,"fund":0.0,"seg":1.0},{"source":257,"target":269,"weight":0.3802,"desc":0.2942,"prob":0.5,"fund":0.25,"seg":0.5},{"source":109,"target":254,"weight":0.38,"desc":0.1438,"prob":1.0,"fund":0.15,"seg":0.0},{"source":129,"target":148,"weight":0.3797,"desc":0.068,"prob":0.6,"fund":0.15,"seg":1.0},{"source":125,"target":157,"weight":0.3793,"desc":0.267,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":134,"target":143,"weight":0.3792,"desc":0.2668,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":97,"target":100,"weight":0.379,"desc":0.2725,"prob":0.4,"fund":0.0,"seg":1.0},{"source":21,"target":289,"weight":0.3789,"desc":0.2722,"prob":0.4,"fund":0.5,"seg":0.5},{"source":23,"target":24,"weight":0.3788,"desc":0.1408,"prob":0.5,"fund":0.15,"seg":1.0},{"source":317,"target":320,"weight":0.378,"desc":0.0699,"prob":0.6667,"fund":0.0,"seg":1.0},{"source":211,"target":313,"weight":0.3771,"desc":0.1928,"prob":1.0,"fund":0.0,"seg":0.0},{"source":18,"target":101,"weight":0.3769,"desc":0.1984,"prob":0.75,"fund":0.15,"seg":0.3333},{"source":265,"target":278,"weight":0.3765,"desc":0.2225,"prob":0.3333,"fund":0.25,"seg":1.0},{"source":154,"target":163,"weight":0.3762,"desc":0.2949,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":69,"target":282,"weight":0.3761,"desc":0.2277,"prob":0.625,"fund":0.15,"seg":0.5},{"source":80,"target":91,"weight":0.3759,"desc":0.1898,"prob":0.6667,"fund":0.0,"seg":0.6667},{"source":129,"target":172,"weight":0.3754,"desc":0.1322,"prob":0.5,"fund":0.15,"seg":1.0},{"source":124,"target":128,"weight":0.3753,"desc":0.3946,"prob":0.4,"fund":0.15,"seg":0.5},{"source":156,"target":157,"weight":0.3751,"desc":0.2565,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":121,"target":138,"weight":0.3748,"desc":0.2059,"prob":0.4,"fund":0.15,"seg":1.0},{"source":319,"target":320,"weight":0.3748,"desc":0.2059,"prob":0.4,"fund":0.15,"seg":1.0},{"source":39,"target":75,"weight":0.3744,"desc":0.2486,"prob":0.6667,"fund":0.0,"seg":0.5},{"source":197,"target":323,"weight":0.3743,"desc":0.1857,"prob":0.5,"fund":0.0,"seg":1.0},{"source":135,"target":160,"weight":0.374,"desc":0.3163,"prob":0.25,"fund":0.15,"seg":1.0},{"source":135,"target":161,"weight":0.3739,"desc":0.2034,"prob":0.4,"fund":0.15,"seg":1.0},{"source":101,"target":113,"weight":0.3737,"desc":0.2031,"prob":0.4,"fund":0.15,"seg":1.0},{"source":103,"target":114,"weight":0.3737,"desc":0.1905,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":108,"target":275,"weight":0.3735,"desc":0.3712,"prob":0.3333,"fund":0.5,"seg":0.3333},{"source":129,"target":160,"weight":0.3733,"desc":0.127,"prob":0.5,"fund":0.15,"seg":1.0},{"source":52,"target":64,"weight":0.3728,"desc":0.2945,"prob":0.6,"fund":0.0,"seg":0.5},{"source":262,"target":263,"weight":0.3725,"desc":0.1251,"prob":0.6667,"fund":0.15,"seg":0.6667},{"source":6,"target":21,"weight":0.3724,"desc":0.181,"prob":0.75,"fund":0.0,"seg":0.5},{"source":18,"target":98,"weight":0.3724,"desc":0.2435,"prob":0.75,"fund":0.0,"seg":0.3333},{"source":132,"target":157,"weight":0.3724,"desc":0.3122,"prob":0.25,"fund":0.15,"seg":1.0},{"source":192,"target":307,"weight":0.3724,"desc":0.1997,"prob":0.4,"fund":0.15,"seg":1.0},{"source":125,"target":160,"weight":0.3722,"desc":0.2493,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":139,"target":212,"weight":0.3719,"desc":0.1236,"prob":1.0,"fund":0.15,"seg":0.0},{"source":184,"target":321,"weight":0.3718,"desc":0.1794,"prob":0.5,"fund":0.0,"seg":1.0},{"source":319,"target":321,"weight":0.3717,"desc":0.1042,"prob":0.6,"fund":0.0,"seg":1.0},{"source":192,"target":314,"weight":0.3713,"desc":0.2158,"prob":0.375,"fund":0.15,"seg":1.0},{"source":133,"target":141,"weight":0.3712,"desc":0.1968,"prob":0.4,"fund":0.15,"seg":1.0},{"source":156,"target":160,"weight":0.3708,"desc":0.2457,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":163,"target":173,"weight":0.3708,"desc":0.2458,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":117,"target":254,"weight":0.3706,"desc":0.1202,"prob":1.0,"fund":0.15,"seg":0.0},{"source":246,"target":253,"weight":0.3706,"desc":0.1201,"prob":0.5,"fund":0.15,"seg":1.0},{"source":17,"target":51,"weight":0.3705,"desc":0.2388,"prob":0.5,"fund":0.5,"seg":0.3333},{"source":292,"target":304,"weight":0.3702,"desc":0.2318,"prob":0.6,"fund":0.15,"seg":0.5},{"source":2,"target":42,"weight":0.3699,"desc":0.2436,"prob":0.6667,"fund":0.15,"seg":0.3333},{"source":226,"target":244,"weight":0.3699,"desc":0.2435,"prob":0.6667,"fund":0.15,"seg":0.3333},{"source":31,"target":112,"weight":0.3697,"desc":0.1743,"prob":1.0,"fund":0.0,"seg":0.0},{"source":176,"target":326,"weight":0.3697,"desc":0.1181,"prob":0.5,"fund":0.15,"seg":1.0},{"source":263,"target":266,"weight":0.3697,"desc":0.1118,"prob":0.3333,"fund":1.0,"seg":0.5},{"source":234,"target":246,"weight":0.3695,"desc":0.3675,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":129,"target":137,"weight":0.3694,"desc":0.1173,"prob":0.5,"fund":0.15,"seg":1.0},{"source":310,"target":325,"weight":0.3694,"desc":0.2422,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":124,"target":157,"weight":0.3693,"desc":0.3044,"prob":0.25,"fund":0.15,"seg":1.0},{"source":135,"target":137,"weight":0.3692,"desc":0.3042,"prob":0.25,"fund":0.15,"seg":1.0},{"source":143,"target":159,"weight":0.3691,"desc":0.2414,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":27,"target":265,"weight":0.369,"desc":0.1788,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":79,"target":82,"weight":0.3688,"desc":0.172,"prob":0.5,"fund":0.0,"seg":1.0},{"source":104,"target":109,"weight":0.3687,"desc":0.2343,"prob":0.6667,"fund":0.0,"seg":0.5},{"source":125,"target":137,"weight":0.3684,"desc":0.2397,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":124,"target":140,"weight":0.3683,"desc":0.3395,"prob":0.2,"fund":0.15,"seg":1.0},{"source":157,"target":164,"weight":0.3681,"desc":0.2391,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":102,"target":106,"weight":0.3679,"desc":0.2385,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":122,"target":160,"weight":0.3679,"desc":0.3011,"prob":0.25,"fund":0.15,"seg":1.0},{"source":57,"target":67,"weight":0.3677,"desc":0.3442,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":201,"target":213,"weight":0.3677,"desc":0.338,"prob":0.2,"fund":0.15,"seg":1.0},{"source":262,"target":294,"weight":0.3677,"desc":0.363,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":29,"target":42,"weight":0.3676,"desc":0.3001,"prob":0.25,"fund":0.15,"seg":1.0},{"source":317,"target":321,"weight":0.3671,"desc":0.1116,"prob":0.5,"fund":0.15,"seg":1.0},{"source":29,"target":39,"weight":0.367,"desc":0.2363,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":97,"target":113,"weight":0.367,"desc":0.1676,"prob":0.5,"fund":0.0,"seg":1.0},{"source":307,"target":327,"weight":0.3669,"desc":0.111,"prob":0.5,"fund":0.15,"seg":1.0},{"source":47,"target":75,"weight":0.3666,"desc":0.3541,"prob":0.5,"fund":0.0,"seg":0.5},{"source":77,"target":275,"weight":0.3665,"desc":0.3538,"prob":0.5,"fund":0.5,"seg":0.0},{"source":133,"target":136,"weight":0.3663,"desc":0.1845,"prob":0.4,"fund":0.15,"seg":1.0},{"source":181,"target":308,"weight":0.366,"desc":0.1087,"prob":0.5,"fund":0.15,"seg":1.0},{"source":235,"target":256,"weight":0.366,"desc":0.2211,"prob":0.6,"fund":0.15,"seg":0.5},{"source":113,"target":170,"weight":0.3659,"desc":0.2772,"prob":0.6,"fund":0.0,"seg":0.5},{"source":52,"target":56,"weight":0.3658,"desc":0.277,"prob":0.6,"fund":0.0,"seg":0.5},{"source":62,"target":65,"weight":0.3655,"desc":0.2762,"prob":0.6,"fund":0.0,"seg":0.5},{"source":294,"target":299,"weight":0.3654,"desc":0.3322,"prob":0.2,"fund":0.15,"seg":1.0},{"source":176,"target":178,"weight":0.3652,"desc":0.238,"prob":0.4,"fund":0.0,"seg":1.0},{"source":48,"target":78,"weight":0.3651,"desc":0.3377,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":116,"target":254,"weight":0.3651,"desc":0.1066,"prob":1.0,"fund":0.15,"seg":0.0},{"source":58,"target":64,"weight":0.3648,"desc":0.2745,"prob":0.6,"fund":0.0,"seg":0.5},{"source":64,"target":71,"weight":0.3644,"desc":0.2297,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":121,"target":137,"weight":0.3644,"desc":0.1048,"prob":0.5,"fund":0.15,"seg":1.0},{"source":214,"target":220,"weight":0.3642,"desc":0.2854,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":56,"target":124,"weight":0.3641,"desc":0.3478,"prob":0.75,"fund":0.0,"seg":0.0},{"source":18,"target":116,"weight":0.3637,"desc":0.2279,"prob":0.5,"fund":0.15,"seg":0.6667},{"source":181,"target":184,"weight":0.3637,"desc":0.0842,"prob":0.6,"fund":0.0,"seg":1.0},{"source":231,"target":237,"weight":0.3637,"desc":0.2281,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":10,"target":62,"weight":0.3633,"desc":0.277,"prob":0.6,"fund":0.15,"seg":0.3333},{"source":78,"target":274,"weight":0.3633,"desc":0.3117,"prob":0.4286,"fund":0.3333,"seg":0.4},{"source":185,"target":314,"weight":0.3633,"desc":0.2119,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":87,"target":92,"weight":0.3631,"desc":0.314,"prob":0.6667,"fund":0.0,"seg":0.25},{"source":128,"target":156,"weight":0.363,"desc":0.2889,"prob":0.5,"fund":0.15,"seg":0.5},{"source":146,"target":154,"weight":0.3628,"desc":0.2614,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":32,"target":112,"weight":0.3627,"desc":0.1567,"prob":1.0,"fund":0.0,"seg":0.0},{"source":181,"target":192,"weight":0.3627,"desc":0.0818,"prob":0.6,"fund":0.0,"seg":1.0},{"source":143,"target":166,"weight":0.3621,"desc":0.0989,"prob":0.5,"fund":0.15,"seg":1.0},{"source":20,"target":38,"weight":0.362,"desc":0.1551,"prob":0.5,"fund":0.0,"seg":1.0},{"source":204,"target":213,"weight":0.3617,"desc":0.2854,"prob":0.25,"fund":0.15,"seg":1.0},{"source":113,"target":114,"weight":0.3615,"desc":0.0976,"prob":0.5,"fund":0.15,"seg":1.0},{"source":197,"target":322,"weight":0.3607,"desc":0.1517,"prob":0.5,"fund":0.0,"seg":1.0},{"source":131,"target":151,"weight":0.3605,"desc":0.2075,"prob":0.6,"fund":0.15,"seg":0.5},{"source":76,"target":88,"weight":0.3604,"desc":0.2554,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":228,"target":237,"weight":0.3601,"desc":0.2191,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":259,"target":299,"weight":0.3592,"desc":0.2792,"prob":0.25,"fund":0.15,"seg":1.0},{"source":139,"target":149,"weight":0.359,"desc":0.1664,"prob":0.4,"fund":0.15,"seg":1.0},{"source":10,"target":71,"weight":0.3589,"desc":0.2161,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":48,"target":178,"weight":0.3585,"desc":0.1462,"prob":1.0,"fund":0.0,"seg":0.0},{"source":122,"target":137,"weight":0.3583,"desc":0.2769,"prob":0.25,"fund":0.15,"seg":1.0},{"source":54,"target":57,"weight":0.3579,"desc":0.3199,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":97,"target":103,"weight":0.3579,"desc":0.2073,"prob":0.6667,"fund":0.0,"seg":0.5},{"source":147,"target":196,"weight":0.357,"desc":0.1425,"prob":1.0,"fund":0.0,"seg":0.0},{"source":143,"target":154,"weight":0.3567,"desc":0.1392,"prob":0.4286,"fund":0.15,"seg":1.0},{"source":42,"target":44,"weight":0.3562,"desc":0.2717,"prob":0.25,"fund":0.15,"seg":1.0},{"source":128,"target":135,"weight":0.3562,"desc":0.3466,"prob":0.4,"fund":0.15,"seg":0.5},{"source":120,"target":179,"weight":0.3559,"desc":0.3149,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":10,"target":124,"weight":0.3558,"desc":0.3269,"prob":0.75,"fund":0.0,"seg":0.0},{"source":235,"target":239,"weight":0.3558,"desc":0.2084,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":128,"target":159,"weight":0.3557,"desc":0.3455,"prob":0.4,"fund":0.15,"seg":0.5},{"source":90,"target":93,"weight":0.3556,"desc":0.2703,"prob":0.25,"fund":0.15,"seg":1.0},{"source":133,"target":153,"weight":0.3555,"desc":0.3076,"prob":0.2,"fund":0.15,"seg":1.0},{"source":122,"target":146,"weight":0.3553,"desc":0.1569,"prob":0.4,"fund":0.15,"seg":1.0},{"source":176,"target":316,"weight":0.3553,"desc":0.1571,"prob":0.4,"fund":0.15,"seg":1.0},{"source":150,"target":166,"weight":0.3552,"desc":0.0816,"prob":0.5,"fund":0.15,"seg":1.0},{"source":56,"target":64,"weight":0.355,"desc":0.2562,"prob":0.6,"fund":0.15,"seg":0.3333},{"source":49,"target":68,"weight":0.3549,"desc":0.2122,"prob":0.4,"fund":0.0,"seg":1.0},{"source":259,"target":262,"weight":0.3546,"desc":0.3052,"prob":0.2,"fund":0.15,"seg":1.0},{"source":149,"target":154,"weight":0.3545,"desc":0.0801,"prob":0.5,"fund":0.15,"seg":1.0},{"source":237,"target":254,"weight":0.3545,"desc":0.1549,"prob":0.4,"fund":0.15,"seg":1.0},{"source":10,"target":64,"weight":0.3544,"desc":0.2046,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":27,"target":278,"weight":0.3543,"desc":0.1421,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":107,"target":115,"weight":0.3543,"desc":0.2608,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":140,"target":157,"weight":0.3542,"desc":0.2669,"prob":0.25,"fund":0.15,"seg":1.0},{"source":307,"target":314,"weight":0.3541,"desc":0.2039,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":70,"target":72,"weight":0.354,"desc":0.26,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":62,"target":120,"weight":0.3538,"desc":0.2094,"prob":0.4,"fund":0.0,"seg":1.0},{"source":139,"target":146,"weight":0.3537,"desc":0.153,"prob":0.4,"fund":0.15,"seg":1.0},{"source":63,"target":70,"weight":0.3535,"desc":0.3274,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":111,"target":117,"weight":0.3535,"desc":0.2088,"prob":0.4,"fund":0.0,"seg":1.0},{"source":261,"target":275,"weight":0.3533,"desc":0.294,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":276,"target":297,"weight":0.3533,"desc":0.1333,"prob":0.5,"fund":0.0,"seg":1.0},{"source":237,"target":249,"weight":0.3531,"desc":0.1514,"prob":0.4,"fund":0.15,"seg":1.0},{"source":44,"target":46,"weight":0.353,"desc":0.2636,"prob":0.25,"fund":0.15,"seg":1.0},{"source":28,"target":302,"weight":0.3524,"desc":0.3184,"prob":0.75,"fund":0.0,"seg":0.0},{"source":179,"target":311,"weight":0.3524,"desc":0.3186,"prob":0.5,"fund":0.0,"seg":0.5},{"source":180,"target":182,"weight":0.3521,"desc":0.1303,"prob":0.5,"fund":0.0,"seg":1.0},{"source":181,"target":194,"weight":0.3519,"desc":0.1985,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":280,"target":303,"weight":0.3517,"desc":0.2043,"prob":0.4,"fund":0.0,"seg":1.0},{"source":10,"target":56,"weight":0.3516,"desc":0.2479,"prob":0.6,"fund":0.15,"seg":0.3333},{"source":27,"target":271,"weight":0.3516,"desc":0.1352,"prob":0.75,"fund":0.15,"seg":0.3333},{"source":89,"target":230,"weight":0.3514,"desc":0.4633,"prob":0.4286,"fund":0.0,"seg":0.25},{"source":207,"target":211,"weight":0.3511,"desc":0.2966,"prob":0.2,"fund":0.15,"seg":1.0},{"source":206,"target":226,"weight":0.351,"desc":0.1962,"prob":0.6667,"fund":0.15,"seg":0.3333},{"source":125,"target":154,"weight":0.3508,"desc":0.3207,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":271,"target":278,"weight":0.3506,"desc":0.2577,"prob":0.5,"fund":0.15,"seg":0.5},{"source":122,"target":149,"weight":0.3504,"desc":0.1449,"prob":0.4,"fund":0.15,"seg":1.0},{"source":314,"target":322,"weight":0.3504,"desc":0.2573,"prob":0.25,"fund":0.15,"seg":1.0},{"source":64,"target":65,"weight":0.35,"desc":0.2374,"prob":0.6,"fund":0.0,"seg":0.5},{"source":313,"target":324,"weight":0.35,"desc":0.0689,"prob":0.5,"fund":0.15,"seg":1.0},{"source":74,"target":81,"weight":0.3498,"desc":0.1995,"prob":0.4,"fund":0.0,"seg":1.0},{"source":120,"target":159,"weight":0.3497,"desc":0.2554,"prob":0.5,"fund":0.15,"seg":0.5},{"source":107,"target":111,"weight":0.3496,"desc":0.2365,"prob":0.6,"fund":0.0,"seg":0.5},{"source":122,"target":173,"weight":0.3492,"desc":0.1417,"prob":0.4,"fund":0.15,"seg":1.0},{"source":205,"target":220,"weight":0.3491,"desc":0.2273,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":155,"target":161,"weight":0.3489,"desc":0.2909,"prob":0.2,"fund":0.15,"seg":1.0},{"source":103,"target":105,"weight":0.3488,"desc":0.1407,"prob":0.4,"fund":0.15,"seg":1.0},{"source":246,"target":250,"weight":0.3488,"desc":0.1908,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":21,"target":101,"weight":0.3482,"desc":0.3079,"prob":0.5,"fund":0.5,"seg":0.0},{"source":100,"target":117,"weight":0.3482,"desc":0.1956,"prob":0.4,"fund":0.0,"seg":1.0},{"source":83,"target":88,"weight":0.3479,"desc":0.1259,"prob":0.6667,"fund":0.15,"seg":0.5},{"source":3,"target":75,"weight":0.3477,"desc":0.2443,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":147,"target":233,"weight":0.3475,"desc":0.1812,"prob":0.75,"fund":0.3333,"seg":0.0},{"source":308,"target":313,"weight":0.3475,"desc":0.1187,"prob":0.5,"fund":0.0,"seg":1.0},{"source":21,"target":109,"weight":0.3472,"desc":0.218,"prob":0.6667,"fund":0.15,"seg":0.25},{"source":138,"target":161,"weight":0.347,"desc":0.1362,"prob":0.4,"fund":0.15,"seg":1.0},{"source":100,"target":104,"weight":0.3469,"desc":0.2422,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":197,"target":319,"weight":0.3469,"desc":0.1172,"prob":0.5,"fund":0.0,"seg":1.0},{"source":10,"target":57,"weight":0.3465,"desc":0.2413,"prob":0.5,"fund":0.0,"seg":0.6667},{"source":41,"target":44,"weight":0.3461,"desc":0.1841,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":50,"target":64,"weight":0.3461,"desc":0.2277,"prob":0.6,"fund":0.0,"seg":0.5},{"source":204,"target":212,"weight":0.3458,"desc":0.1144,"prob":0.5,"fund":0.0,"seg":1.0},{"source":197,"target":327,"weight":0.3454,"desc":0.1134,"prob":0.5,"fund":0.0,"seg":1.0},{"source":238,"target":255,"weight":0.3453,"desc":0.1133,"prob":0.5,"fund":0.0,"seg":1.0},{"source":102,"target":289,"weight":0.3452,"desc":0.238,"prob":0.5,"fund":0.0,"seg":0.6667},{"source":77,"target":239,"weight":0.3448,"desc":0.1682,"prob":0.6,"fund":0.15,"seg":0.5},{"source":257,"target":264,"weight":0.3448,"desc":0.1745,"prob":0.75,"fund":0.0,"seg":0.3333},{"source":199,"target":313,"weight":0.3447,"desc":0.1118,"prob":0.5,"fund":0.0,"seg":1.0},{"source":259,"target":294,"weight":0.3447,"desc":0.3367,"prob":0.125,"fund":0.15,"seg":1.0},{"source":39,"target":41,"weight":0.3445,"desc":0.1801,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":184,"target":317,"weight":0.3444,"desc":0.1859,"prob":0.4,"fund":0.0,"seg":1.0},{"source":247,"target":254,"weight":0.3443,"desc":0.4294,"prob":0.25,"fund":0.15,"seg":0.5},{"source":291,"target":294,"weight":0.3443,"desc":0.3356,"prob":0.125,"fund":0.15,"seg":1.0},{"source":321,"target":324,"weight":0.3443,"desc":0.1858,"prob":0.4,"fund":0.0,"seg":1.0},{"source":41,"target":42,"weight":0.344,"desc":0.2414,"prob":0.25,"fund":0.15,"seg":1.0},{"source":181,"target":324,"weight":0.344,"desc":0.1101,"prob":0.5,"fund":0.0,"seg":1.0},{"source":182,"target":196,"weight":0.344,"desc":0.1849,"prob":0.4,"fund":0.0,"seg":1.0},{"source":208,"target":209,"weight":0.344,"desc":0.1788,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":139,"target":203,"weight":0.3439,"desc":0.1097,"prob":1.0,"fund":0.0,"seg":0.0},{"source":176,"target":192,"weight":0.3439,"desc":0.2142,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":225,"target":239,"weight":0.3439,"desc":0.1786,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":262,"target":277,"weight":0.3439,"desc":0.2411,"prob":0.25,"fund":0.15,"seg":1.0},{"source":237,"target":253,"weight":0.3436,"desc":0.2134,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":264,"target":284,"weight":0.3436,"desc":0.2339,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":79,"target":95,"weight":0.3433,"desc":0.2332,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":314,"target":327,"weight":0.3433,"desc":0.1056,"prob":0.4286,"fund":0.15,"seg":1.0},{"source":29,"target":41,"weight":0.343,"desc":0.1762,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":201,"target":209,"weight":0.343,"desc":0.1763,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":314,"target":326,"weight":0.3426,"desc":0.1754,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":156,"target":161,"weight":0.3425,"desc":0.2749,"prob":0.2,"fund":0.15,"seg":1.0},{"source":184,"target":192,"weight":0.3423,"desc":0.1594,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":233,"target":249,"weight":0.3422,"desc":0.2306,"prob":0.0,"fund":0.6667,"seg":1.0},{"source":0,"target":3,"weight":0.342,"desc":0.23,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":321,"target":323,"weight":0.3418,"desc":0.1733,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":97,"target":111,"weight":0.3411,"desc":0.1778,"prob":0.4,"fund":0.0,"seg":1.0},{"source":162,"target":181,"weight":0.3411,"desc":0.1027,"prob":1.0,"fund":0.0,"seg":0.0},{"source":250,"target":254,"weight":0.341,"desc":0.1713,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":122,"target":181,"weight":0.3408,"desc":0.102,"prob":1.0,"fund":0.0,"seg":0.0},{"source":243,"target":244,"weight":0.3408,"desc":0.1707,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":97,"target":158,"weight":0.3407,"desc":0.233,"prob":0.5,"fund":0.15,"seg":0.5},{"source":316,"target":321,"weight":0.3405,"desc":0.1201,"prob":0.4,"fund":0.15,"seg":1.0},{"source":312,"target":314,"weight":0.3404,"desc":0.1545,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":260,"target":271,"weight":0.3403,"desc":0.3123,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":126,"target":154,"weight":0.3402,"desc":0.1692,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":180,"target":197,"weight":0.34,"desc":0.175,"prob":0.4,"fund":0.0,"seg":1.0},{"source":174,"target":176,"weight":0.3397,"desc":0.1679,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":174,"target":318,"weight":0.3397,"desc":0.1743,"prob":0.4,"fund":0.0,"seg":1.0},{"source":222,"target":223,"weight":0.3397,"desc":0.2305,"prob":0.25,"fund":0.15,"seg":1.0},{"source":307,"target":309,"weight":0.3396,"desc":0.1677,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":0,"target":2,"weight":0.3395,"desc":0.2549,"prob":0.6667,"fund":0.0,"seg":0.25},{"source":281,"target":304,"weight":0.3394,"desc":0.2031,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":222,"target":256,"weight":0.3392,"desc":0.3542,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":310,"target":313,"weight":0.3391,"desc":0.229,"prob":0.25,"fund":0.15,"seg":1.0},{"source":17,"target":78,"weight":0.339,"desc":0.2851,"prob":0.5,"fund":0.5,"seg":0.0},{"source":279,"target":303,"weight":0.3388,"desc":0.2219,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":313,"target":325,"weight":0.3387,"desc":0.2279,"prob":0.25,"fund":0.15,"seg":1.0},{"source":18,"target":104,"weight":0.3384,"desc":0.1585,"prob":0.75,"fund":0.0,"seg":0.3333},{"source":21,"target":249,"weight":0.3384,"desc":0.1585,"prob":0.6667,"fund":0.5,"seg":0.0},{"source":59,"target":132,"weight":0.3381,"desc":0.2827,"prob":0.75,"fund":0.0,"seg":0.0},{"source":82,"target":92,"weight":0.3381,"desc":0.0953,"prob":0.5,"fund":0.0,"seg":1.0},{"source":78,"target":229,"weight":0.338,"desc":0.1886,"prob":0.8,"fund":0.15,"seg":0.0},{"source":142,"target":153,"weight":0.3379,"desc":0.2261,"prob":0.25,"fund":0.15,"seg":1.0},{"source":184,"target":320,"weight":0.3376,"desc":0.2189,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":87,"target":276,"weight":0.3371,"desc":0.2177,"prob":0.5,"fund":0.0,"seg":0.6667},{"source":202,"target":209,"weight":0.337,"desc":0.2112,"prob":0.6,"fund":0.15,"seg":0.3333},{"source":12,"target":231,"weight":0.3369,"desc":0.2236,"prob":0.75,"fund":0.15,"seg":0.0},{"source":101,"target":289,"weight":0.3363,"desc":0.2907,"prob":0.4,"fund":0.3333,"seg":0.3333},{"source":158,"target":170,"weight":0.3363,"desc":0.1594,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":307,"target":326,"weight":0.3362,"desc":0.1592,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":111,"target":114,"weight":0.3361,"desc":0.1652,"prob":0.4,"fund":0.0,"seg":1.0},{"source":226,"target":242,"weight":0.3357,"desc":0.1517,"prob":0.75,"fund":0.0,"seg":0.3333},{"source":175,"target":198,"weight":0.3356,"desc":0.0863,"prob":0.4286,"fund":0.15,"seg":1.0},{"source":0,"target":102,"weight":0.3355,"desc":0.2139,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":4,"target":5,"weight":0.3355,"desc":0.1637,"prob":0.4,"fund":0.0,"seg":1.0},{"source":99,"target":289,"weight":0.3355,"desc":0.2136,"prob":0.5,"fund":0.0,"seg":0.6667},{"source":56,"target":59,"weight":0.3354,"desc":0.2634,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":6,"target":289,"weight":0.3353,"desc":0.2132,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":146,"target":169,"weight":0.3351,"desc":0.1064,"prob":0.4,"fund":0.15,"seg":1.0},{"source":17,"target":282,"weight":0.3349,"desc":0.2481,"prob":0.2857,"fund":0.5,"seg":0.5},{"source":74,"target":95,"weight":0.3346,"desc":0.1615,"prob":0.4,"fund":0.0,"seg":1.0},{"source":129,"target":161,"weight":0.3345,"desc":0.1551,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":288,"target":290,"weight":0.3345,"desc":0.1907,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":276,"target":277,"weight":0.3344,"desc":0.161,"prob":0.4,"fund":0.0,"seg":1.0},{"source":10,"target":59,"weight":0.3343,"desc":0.2609,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":314,"target":317,"weight":0.3341,"desc":0.1541,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":121,"target":169,"weight":0.334,"desc":0.1038,"prob":0.4,"fund":0.15,"seg":1.0},{"source":122,"target":141,"weight":0.334,"desc":0.2537,"prob":0.2,"fund":0.15,"seg":1.0},{"source":181,"target":322,"weight":0.3338,"desc":0.1596,"prob":0.4,"fund":0.0,"seg":1.0},{"source":139,"target":166,"weight":0.3336,"desc":0.1027,"prob":0.4,"fund":0.15,"seg":1.0},{"source":74,"target":90,"weight":0.3332,"desc":0.1581,"prob":0.4,"fund":0.0,"seg":1.0},{"source":191,"target":194,"weight":0.3331,"desc":0.1363,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":316,"target":327,"weight":0.3331,"desc":0.1014,"prob":0.4,"fund":0.15,"seg":1.0},{"source":59,"target":124,"weight":0.333,"desc":0.27,"prob":0.75,"fund":0.0,"seg":0.0},{"source":69,"target":280,"weight":0.333,"desc":0.2359,"prob":0.5455,"fund":0.0,"seg":0.5},{"source":9,"target":286,"weight":0.3329,"desc":0.2761,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":19,"target":189,"weight":0.3329,"desc":0.2697,"prob":0.75,"fund":0.0,"seg":0.0},{"source":98,"target":113,"weight":0.3326,"desc":0.1565,"prob":0.4,"fund":0.0,"seg":1.0},{"source":204,"target":277,"weight":0.3323,"desc":0.0808,"prob":1.0,"fund":0.0,"seg":0.0},{"source":259,"target":276,"weight":0.3323,"desc":0.2058,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":260,"target":277,"weight":0.3322,"desc":0.2741,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":224,"target":239,"weight":0.3321,"desc":0.1846,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":317,"target":319,"weight":0.3321,"desc":0.0803,"prob":0.5,"fund":0.0,"seg":1.0},{"source":129,"target":169,"weight":0.3314,"desc":0.0972,"prob":0.4,"fund":0.15,"seg":1.0},{"source":6,"target":99,"weight":0.3312,"desc":0.203,"prob":0.5,"fund":0.0,"seg":0.6667},{"source":174,"target":314,"weight":0.3311,"desc":0.2089,"prob":0.25,"fund":0.15,"seg":1.0},{"source":142,"target":165,"weight":0.3307,"desc":0.2455,"prob":0.2,"fund":0.15,"seg":1.0},{"source":166,"target":173,"weight":0.3306,"desc":0.1451,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":224,"target":256,"weight":0.3306,"desc":0.2078,"prob":0.5,"fund":0.15,"seg":0.5},{"source":188,"target":312,"weight":0.3305,"desc":0.1807,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":315,"target":318,"weight":0.3305,"desc":0.1514,"prob":0.4,"fund":0.0,"seg":1.0},{"source":166,"target":171,"weight":0.3302,"desc":0.1442,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":194,"target":195,"weight":0.3302,"desc":0.129,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":312,"target":320,"weight":0.3301,"desc":0.094,"prob":0.4,"fund":0.15,"seg":1.0},{"source":225,"target":252,"weight":0.3297,"desc":0.0929,"prob":0.4,"fund":0.15,"seg":1.0},{"source":15,"target":21,"weight":0.3296,"desc":0.1739,"prob":0.2,"fund":0.3333,"seg":1.0},{"source":25,"target":328,"weight":0.3296,"desc":0.0927,"prob":0.4,"fund":0.15,"seg":1.0},{"source":79,"target":80,"weight":0.3296,"desc":0.1991,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":243,"target":247,"weight":0.3294,"desc":0.2047,"prob":0.25,"fund":0.15,"seg":1.0},{"source":277,"target":291,"weight":0.3293,"desc":0.267,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":5,"target":266,"weight":0.3292,"desc":0.1713,"prob":0.2857,"fund":0.5,"seg":0.6667},{"source":49,"target":64,"weight":0.3292,"desc":0.1854,"prob":0.6,"fund":0.0,"seg":0.5},{"source":298,"target":304,"weight":0.3292,"desc":0.2667,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":23,"target":25,"weight":0.3289,"desc":0.1411,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":100,"target":114,"weight":0.3288,"desc":0.1469,"prob":0.4,"fund":0.0,"seg":1.0},{"source":56,"target":132,"weight":0.328,"desc":0.2575,"prob":0.75,"fund":0.0,"seg":0.0},{"source":275,"target":284,"weight":0.3279,"desc":0.1741,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":74,"target":79,"weight":0.3277,"desc":0.1443,"prob":0.4,"fund":0.0,"seg":1.0},{"source":42,"target":47,"weight":0.3276,"desc":0.2377,"prob":0.2,"fund":0.15,"seg":1.0},{"source":101,"target":105,"weight":0.3276,"desc":0.2064,"prob":0.4,"fund":0.3333,"seg":0.5},{"source":191,"target":198,"weight":0.3276,"desc":0.1225,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":226,"target":243,"weight":0.3276,"desc":0.1377,"prob":0.6667,"fund":0.15,"seg":0.3333},{"source":119,"target":166,"weight":0.3274,"desc":0.1935,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":263,"target":264,"weight":0.3268,"desc":0.1607,"prob":0.75,"fund":0.0,"seg":0.25},{"source":260,"target":291,"weight":0.3267,"desc":0.2783,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":15,"target":249,"weight":0.3266,"desc":0.3791,"prob":0.25,"fund":0.6667,"seg":0.0},{"source":194,"target":311,"weight":0.3265,"desc":0.1914,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":185,"target":317,"weight":0.3262,"desc":0.0655,"prob":0.5,"fund":0.0,"seg":1.0},{"source":21,"target":27,"weight":0.326,"desc":0.1338,"prob":0.5,"fund":0.15,"seg":0.6667},{"source":223,"target":235,"weight":0.326,"desc":0.1962,"prob":0.25,"fund":0.15,"seg":1.0},{"source":120,"target":175,"weight":0.3255,"desc":0.3637,"prob":0.6,"fund":0.0,"seg":0.0},{"source":307,"target":319,"weight":0.3255,"desc":0.0636,"prob":0.5,"fund":0.0,"seg":1.0},{"source":112,"target":240,"weight":0.3253,"desc":0.2508,"prob":0.75,"fund":0.0,"seg":0.0},{"source":223,"target":225,"weight":0.3253,"desc":0.1944,"prob":0.25,"fund":0.15,"seg":1.0},{"source":25,"target":40,"weight":0.3251,"desc":0.1939,"prob":0.5,"fund":0.15,"seg":0.5},{"source":314,"target":323,"weight":0.3251,"desc":0.1939,"prob":0.25,"fund":0.15,"seg":1.0},{"source":320,"target":321,"weight":0.3249,"desc":0.1372,"prob":0.4,"fund":0.0,"seg":1.0},{"source":88,"target":89,"weight":0.3248,"desc":0.1933,"prob":0.25,"fund":0.15,"seg":1.0},{"source":104,"target":113,"weight":0.3248,"desc":0.137,"prob":0.4,"fund":0.0,"seg":1.0},{"source":106,"target":269,"weight":0.3246,"desc":0.1241,"prob":0.6667,"fund":0.0,"seg":0.5},{"source":263,"target":269,"weight":0.3246,"desc":0.124,"prob":0.5,"fund":0.5,"seg":0.3333},{"source":175,"target":194,"weight":0.3244,"desc":0.1146,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":222,"target":241,"weight":0.3244,"desc":0.2547,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":120,"target":131,"weight":0.3243,"desc":0.317,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":175,"target":196,"weight":0.3241,"desc":0.1291,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":15,"target":105,"weight":0.3235,"desc":0.34,"prob":0.1667,"fund":0.6667,"seg":0.25},{"source":120,"target":136,"weight":0.3235,"desc":0.1899,"prob":0.5,"fund":0.15,"seg":0.5},{"source":320,"target":327,"weight":0.3234,"desc":0.1334,"prob":0.4,"fund":0.0,"seg":1.0},{"source":206,"target":215,"weight":0.3233,"desc":0.1833,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":48,"target":229,"weight":0.3232,"desc":0.2455,"prob":0.75,"fund":0.0,"seg":0.0},{"source":281,"target":294,"weight":0.3232,"desc":0.283,"prob":0.125,"fund":0.15,"seg":1.0},{"source":279,"target":292,"weight":0.3228,"desc":0.2256,"prob":0.2,"fund":0.15,"seg":1.0},{"source":319,"target":324,"weight":0.3228,"desc":0.0758,"prob":0.4,"fund":0.15,"seg":1.0},{"source":98,"target":100,"weight":0.3223,"desc":0.1806,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":233,"target":253,"weight":0.3223,"desc":0.1807,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":57,"target":133,"weight":0.3222,"desc":0.2056,"prob":0.8,"fund":0.0,"seg":0.0},{"source":99,"target":106,"weight":0.3221,"desc":0.1803,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":187,"target":190,"weight":0.322,"desc":0.1799,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":259,"target":260,"weight":0.3219,"desc":0.2664,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":213,"target":220,"weight":0.3216,"desc":0.2228,"prob":0.2,"fund":0.15,"seg":1.0},{"source":318,"target":319,"weight":0.3213,"desc":0.0721,"prob":0.4,"fund":0.15,"seg":1.0},{"source":287,"target":288,"weight":0.3211,"desc":0.2465,"prob":0.3333,"fund":0.15,"seg":0.6667},{"source":211,"target":221,"weight":0.3209,"desc":0.171,"prob":0.6,"fund":0.15,"seg":0.3333},{"source":252,"target":253,"weight":0.3209,"desc":0.0709,"prob":0.4,"fund":0.15,"seg":1.0},{"source":3,"target":43,"weight":0.3208,"desc":0.1833,"prob":0.5,"fund":0.15,"seg":0.5},{"source":265,"target":301,"weight":0.3208,"desc":0.177,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":184,"target":316,"weight":0.3206,"desc":0.1766,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":180,"target":194,"weight":0.3205,"desc":0.1262,"prob":0.4,"fund":0.0,"seg":1.0},{"source":80,"target":82,"weight":0.3204,"desc":0.1136,"prob":0.75,"fund":0.0,"seg":0.3333},{"source":18,"target":113,"weight":0.3202,"desc":0.1693,"prob":0.6,"fund":0.15,"seg":0.3333},{"source":22,"target":82,"weight":0.3201,"desc":0.1627,"prob":0.75,"fund":0.0,"seg":0.2},{"source":40,"target":105,"weight":0.32,"desc":0.1689,"prob":0.6,"fund":0.15,"seg":0.3333},{"source":195,"target":196,"weight":0.3197,"desc":0.1181,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":0,"target":289,"weight":0.3196,"desc":0.2489,"prob":0.4,"fund":0.0,"seg":0.6667},{"source":87,"target":268,"weight":0.3191,"desc":0.2833,"prob":0.1111,"fund":0.15,"seg":1.0},{"source":135,"target":142,"weight":0.3188,"desc":0.2157,"prob":0.2,"fund":0.15,"seg":1.0},{"source":79,"target":92,"weight":0.3187,"desc":0.1219,"prob":0.4,"fund":0.0,"seg":1.0},{"source":228,"target":250,"weight":0.3183,"desc":0.1769,"prob":0.25,"fund":0.15,"seg":1.0},{"source":180,"target":184,"weight":0.3182,"desc":0.1205,"prob":0.4,"fund":0.0,"seg":1.0},{"source":21,"target":117,"weight":0.3181,"desc":0.1703,"prob":0.6667,"fund":0.3333,"seg":0.0},{"source":85,"target":96,"weight":0.3178,"desc":0.2944,"prob":0.1667,"fund":0.5,"seg":0.5},{"source":196,"target":311,"weight":0.3174,"desc":0.1747,"prob":0.25,"fund":0.15,"seg":1.0},{"source":265,"target":271,"weight":0.3169,"desc":0.1735,"prob":0.5,"fund":0.15,"seg":0.5},{"source":6,"target":109,"weight":0.3168,"desc":0.2671,"prob":0.5,"fund":0.15,"seg":0.25},{"source":284,"target":302,"weight":0.3166,"desc":0.2532,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":223,"target":241,"weight":0.3164,"desc":0.266,"prob":0.125,"fund":0.15,"seg":1.0},{"source":104,"target":158,"weight":0.3161,"desc":0.2465,"prob":0.4,"fund":0.15,"seg":0.5},{"source":153,"target":169,"weight":0.316,"desc":0.1712,"prob":0.25,"fund":0.15,"seg":1.0},{"source":74,"target":84,"weight":0.3158,"desc":0.1645,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":6,"target":115,"weight":0.3155,"desc":0.1637,"prob":0.5,"fund":0.0,"seg":0.6667},{"source":234,"target":241,"weight":0.3153,"desc":0.2498,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":308,"target":321,"weight":0.3152,"desc":0.113,"prob":0.4,"fund":0.0,"seg":1.0},{"source":119,"target":142,"weight":0.315,"desc":0.1125,"prob":0.4,"fund":0.0,"seg":1.0},{"source":259,"target":286,"weight":0.3146,"desc":0.2053,"prob":0.2,"fund":0.15,"seg":1.0},{"source":6,"target":102,"weight":0.3143,"desc":0.1608,"prob":0.5,"fund":0.0,"seg":0.6667},{"source":191,"target":313,"weight":0.314,"desc":0.1601,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":204,"target":219,"weight":0.314,"desc":0.2038,"prob":0.2,"fund":0.15,"seg":1.0},{"source":270,"target":302,"weight":0.314,"desc":0.36,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":313,"target":322,"weight":0.3139,"desc":0.1098,"prob":0.4,"fund":0.0,"seg":1.0},{"source":22,"target":297,"weight":0.3138,"desc":0.1533,"prob":0.6667,"fund":0.15,"seg":0.2},{"source":100,"target":101,"weight":0.3138,"desc":0.1595,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":262,"target":297,"weight":0.3138,"desc":0.1031,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":175,"target":191,"weight":0.3137,"desc":0.0879,"prob":0.4286,"fund":0.0,"seg":1.0},{"source":243,"target":251,"weight":0.3134,"desc":0.1648,"prob":0.5,"fund":0.15,"seg":0.5},{"source":109,"target":158,"weight":0.3133,"desc":0.2833,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":195,"target":311,"weight":0.3132,"desc":0.1018,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":3,"target":33,"weight":0.3131,"desc":0.164,"prob":0.5,"fund":0.15,"seg":0.5},{"source":182,"target":200,"weight":0.313,"desc":0.1933,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":101,"target":168,"weight":0.3128,"desc":0.3445,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":39,"target":47,"weight":0.3127,"desc":0.163,"prob":0.25,"fund":0.15,"seg":1.0},{"source":22,"target":91,"weight":0.3126,"desc":0.219,"prob":0.6667,"fund":0.0,"seg":0.1667},{"source":260,"target":262,"weight":0.3125,"desc":0.2,"prob":0.2,"fund":0.15,"seg":1.0},{"source":268,"target":290,"weight":0.3124,"desc":0.2873,"prob":0.25,"fund":0.15,"seg":0.6667},{"source":237,"target":250,"weight":0.3121,"desc":0.2241,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":262,"target":271,"weight":0.3121,"desc":0.199,"prob":0.2,"fund":0.15,"seg":1.0},{"source":3,"target":30,"weight":0.3117,"desc":0.1605,"prob":0.5,"fund":0.15,"seg":0.5},{"source":22,"target":79,"weight":0.3115,"desc":0.2037,"prob":0.6667,"fund":0.0,"seg":0.2},{"source":2,"target":43,"weight":0.3113,"desc":0.222,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":249,"target":253,"weight":0.3112,"desc":0.1968,"prob":0.2,"fund":0.15,"seg":1.0},{"source":106,"target":110,"weight":0.3111,"desc":0.2526,"prob":0.2,"fund":0.0,"seg":1.0},{"source":201,"target":205,"weight":0.3111,"desc":0.1323,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":61,"target":69,"weight":0.311,"desc":0.2435,"prob":0.5455,"fund":0.0,"seg":0.3333},{"source":180,"target":192,"weight":0.3109,"desc":0.1022,"prob":0.4,"fund":0.0,"seg":1.0},{"source":69,"target":303,"weight":0.3108,"desc":0.256,"prob":0.4444,"fund":0.0,"seg":0.5},{"source":191,"target":311,"weight":0.3108,"desc":0.1521,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":225,"target":253,"weight":0.3108,"desc":0.0958,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":237,"target":246,"weight":0.3108,"desc":0.2208,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":74,"target":94,"weight":0.3107,"desc":0.1874,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":38,"target":47,"weight":0.3106,"desc":0.2329,"prob":0.4,"fund":0.15,"seg":0.5},{"source":176,"target":197,"weight":0.3104,"desc":0.1866,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":142,"target":172,"weight":0.3102,"desc":0.1568,"prob":0.25,"fund":0.15,"seg":1.0},{"source":21,"target":278,"weight":0.3101,"desc":0.1502,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":51,"target":78,"weight":0.31,"desc":0.2126,"prob":0.25,"fund":1.0,"seg":0.0},{"source":174,"target":327,"weight":0.3098,"desc":0.0932,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":209,"target":221,"weight":0.3098,"desc":0.2183,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":185,"target":313,"weight":0.3095,"desc":0.0986,"prob":0.4,"fund":0.0,"seg":1.0},{"source":249,"target":250,"weight":0.3094,"desc":0.0923,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":32,"target":286,"weight":0.3093,"desc":0.2732,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":273,"target":304,"weight":0.3093,"desc":0.1839,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":315,"target":321,"weight":0.309,"desc":0.1476,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":0,"target":99,"weight":0.3088,"desc":0.147,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":50,"target":179,"weight":0.3087,"desc":0.2092,"prob":0.5,"fund":0.0,"seg":0.5},{"source":277,"target":294,"weight":0.3087,"desc":0.3404,"prob":0.0,"fund":0.15,"seg":1.0},{"source":176,"target":184,"weight":0.3083,"desc":0.1815,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":75,"target":114,"weight":0.308,"desc":0.2139,"prob":0.6667,"fund":0.15,"seg":0.0},{"source":108,"target":186,"weight":0.308,"desc":0.1451,"prob":0.6667,"fund":0.3333,"seg":0.0},{"source":314,"target":316,"weight":0.308,"desc":0.1243,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":281,"target":298,"weight":0.3079,"desc":0.1886,"prob":0.2,"fund":0.15,"seg":1.0},{"source":216,"target":257,"weight":0.3078,"desc":0.1944,"prob":0.6,"fund":0.3333,"seg":0.0},{"source":268,"target":288,"weight":0.3078,"desc":0.2489,"prob":0.2857,"fund":0.15,"seg":0.6667},{"source":22,"target":252,"weight":0.3077,"desc":0.3379,"prob":0.5,"fund":0.15,"seg":0.0},{"source":115,"target":301,"weight":0.3074,"desc":0.1747,"prob":0.6667,"fund":0.0,"seg":0.25},{"source":203,"target":213,"weight":0.3074,"desc":0.1435,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":67,"target":70,"weight":0.3073,"desc":0.2683,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":142,"target":159,"weight":0.3072,"desc":0.1868,"prob":0.2,"fund":0.15,"seg":1.0},{"source":271,"target":291,"weight":0.3071,"desc":0.2294,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":184,"target":185,"weight":0.307,"desc":0.1219,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":146,"target":162,"weight":0.3069,"desc":0.2236,"prob":0.4,"fund":0.15,"seg":0.5},{"source":250,"target":253,"weight":0.3068,"desc":0.1857,"prob":0.2,"fund":0.15,"seg":1.0},{"source":224,"target":238,"weight":0.3067,"desc":0.2106,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":81,"target":96,"weight":0.3066,"desc":0.204,"prob":0.25,"fund":0.3333,"seg":0.6667},{"source":201,"target":208,"weight":0.3066,"desc":0.0852,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":126,"target":134,"weight":0.3064,"desc":0.1848,"prob":0.2,"fund":0.15,"seg":1.0},{"source":99,"target":301,"weight":0.3063,"desc":0.172,"prob":0.6667,"fund":0.0,"seg":0.25},{"source":185,"target":322,"weight":0.3061,"desc":0.1403,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":190,"target":202,"weight":0.3061,"desc":0.1465,"prob":0.75,"fund":0.15,"seg":0.0},{"source":198,"target":313,"weight":0.3061,"desc":0.1403,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":316,"target":319,"weight":0.3061,"desc":0.0902,"prob":0.4,"fund":0.0,"seg":1.0},{"source":65,"target":179,"weight":0.306,"desc":0.2026,"prob":0.5,"fund":0.0,"seg":0.5},{"source":175,"target":188,"weight":0.3059,"desc":0.2023,"prob":0.25,"fund":0.0,"seg":1.0},{"source":185,"target":308,"weight":0.3059,"desc":0.0898,"prob":0.4,"fund":0.0,"seg":1.0},{"source":277,"target":298,"weight":0.3057,"desc":0.3329,"prob":0.0,"fund":0.15,"seg":1.0},{"source":198,"target":311,"weight":0.3054,"desc":0.0822,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":223,"target":224,"weight":0.3053,"desc":0.1654,"prob":0.2222,"fund":0.15,"seg":1.0},{"source":178,"target":319,"weight":0.3052,"desc":0.0881,"prob":0.4,"fund":0.0,"seg":1.0},{"source":188,"target":314,"weight":0.3052,"desc":0.2213,"prob":0.2222,"fund":0.0,"seg":1.0},{"source":113,"target":168,"weight":0.3049,"desc":0.1997,"prob":0.5,"fund":0.0,"seg":0.5},{"source":93,"target":95,"weight":0.3047,"desc":0.1992,"prob":0.25,"fund":0.0,"seg":1.0},{"source":118,"target":168,"weight":0.3046,"desc":0.3034,"prob":0.2857,"fund":0.15,"seg":0.5},{"source":185,"target":198,"weight":0.3046,"desc":0.1722,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":231,"target":252,"weight":0.3045,"desc":0.18,"prob":0.2,"fund":0.15,"seg":1.0},{"source":208,"target":221,"weight":0.3042,"desc":0.2043,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":181,"target":182,"weight":0.3041,"desc":0.0852,"prob":0.4,"fund":0.0,"seg":1.0},{"source":214,"target":215,"weight":0.3041,"desc":0.0852,"prob":0.4,"fund":0.0,"seg":1.0},{"source":17,"target":193,"weight":0.3037,"desc":0.1592,"prob":0.8,"fund":0.0,"seg":0.0},{"source":228,"target":246,"weight":0.3034,"desc":0.1398,"prob":0.25,"fund":0.15,"seg":1.0},{"source":275,"target":302,"weight":0.3033,"desc":0.1689,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":174,"target":184,"weight":0.3031,"desc":0.1686,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":199,"target":315,"weight":0.3029,"desc":0.0822,"prob":0.4,"fund":0.0,"seg":1.0},{"source":112,"target":186,"weight":0.3028,"desc":0.132,"prob":0.6667,"fund":0.3333,"seg":0.0},{"source":271,"target":276,"weight":0.3028,"desc":0.1321,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":286,"target":294,"weight":0.3027,"desc":0.2004,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":4,"target":270,"weight":0.3025,"desc":0.2312,"prob":0.2,"fund":0.0,"seg":1.0},{"source":310,"target":318,"weight":0.3025,"desc":0.1375,"prob":0.25,"fund":0.15,"seg":1.0},{"source":52,"target":57,"weight":0.3024,"desc":0.256,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":136,"target":142,"weight":0.3023,"desc":0.1745,"prob":0.2,"fund":0.15,"seg":1.0},{"source":2,"target":33,"weight":0.3022,"desc":0.1993,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":0,"target":301,"weight":0.302,"desc":0.1299,"prob":0.5,"fund":0.0,"seg":0.6667},{"source":201,"target":212,"weight":0.302,"desc":0.0799,"prob":0.4,"fund":0.0,"seg":1.0},{"source":238,"target":239,"weight":0.302,"desc":0.1738,"prob":0.2,"fund":0.15,"seg":1.0},{"source":224,"target":250,"weight":0.3018,"desc":0.1982,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":259,"target":291,"weight":0.3017,"desc":0.2158,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":169,"target":172,"weight":0.3015,"desc":0.1349,"prob":0.25,"fund":0.15,"seg":1.0},{"source":5,"target":270,"weight":0.3014,"desc":0.2536,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":18,"target":47,"weight":0.3013,"desc":0.1907,"prob":0.75,"fund":0.0,"seg":0.0},{"source":176,"target":327,"weight":0.3011,"desc":0.0714,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":1,"target":188,"weight":0.3009,"desc":0.3021,"prob":0.6,"fund":0.0,"seg":0.0},{"source":236,"target":242,"weight":0.3009,"desc":0.321,"prob":0.0,"fund":0.15,"seg":1.0},{"source":239,"target":302,"weight":0.3009,"desc":0.3023,"prob":0.6,"fund":0.0,"seg":0.0},{"source":155,"target":167,"weight":0.3006,"desc":0.189,"prob":0.25,"fund":0.0,"seg":1.0},{"source":6,"target":47,"weight":0.3005,"desc":0.1888,"prob":0.75,"fund":0.0,"seg":0.0},{"source":114,"target":158,"weight":0.3005,"desc":0.1888,"prob":0.5,"fund":0.0,"seg":0.5},{"source":309,"target":317,"weight":0.3004,"desc":0.0698,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":311,"target":322,"weight":0.3004,"desc":0.1531,"prob":0.2222,"fund":0.15,"seg":1.0},{"source":2,"target":30,"weight":0.3003,"desc":0.1944,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":204,"target":210,"weight":0.3003,"desc":0.132,"prob":0.25,"fund":0.15,"seg":1.0},{"source":205,"target":208,"weight":0.3003,"desc":0.2257,"prob":0.125,"fund":0.15,"seg":1.0},{"source":19,"target":168,"weight":0.3002,"desc":0.3006,"prob":0.6,"fund":0.0,"seg":0.0},{"source":178,"target":197,"weight":0.3001,"desc":0.1253,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":142,"target":169,"weight":0.3,"desc":0.1687,"prob":0.2,"fund":0.15,"seg":1.0},{"source":244,"target":247,"weight":0.2998,"desc":0.1308,"prob":0.25,"fund":0.15,"seg":1.0},{"source":202,"target":205,"weight":0.2992,"desc":0.1918,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":79,"target":90,"weight":0.2991,"desc":0.1226,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":238,"target":240,"weight":0.2988,"desc":0.1657,"prob":0.2,"fund":0.15,"seg":1.0},{"source":119,"target":138,"weight":0.2987,"desc":0.0717,"prob":0.4,"fund":0.0,"seg":1.0},{"source":6,"target":19,"weight":0.2986,"desc":0.2653,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":176,"target":235,"weight":0.2985,"desc":0.2964,"prob":0.6,"fund":0.0,"seg":0.0},{"source":114,"target":228,"weight":0.2984,"desc":0.1898,"prob":0.6667,"fund":0.15,"seg":0.0},{"source":58,"target":120,"weight":0.2983,"desc":0.2582,"prob":0.4,"fund":0.0,"seg":0.5},{"source":185,"target":318,"weight":0.2982,"desc":0.0705,"prob":0.4,"fund":0.0,"seg":1.0},{"source":31,"target":240,"weight":0.298,"desc":0.1825,"prob":0.75,"fund":0.0,"seg":0.0},{"source":17,"target":229,"weight":0.2979,"desc":0.1446,"prob":0.6,"fund":0.15,"seg":0.25},{"source":113,"target":158,"weight":0.2979,"desc":0.1072,"prob":0.6,"fund":0.0,"seg":0.5},{"source":307,"target":310,"weight":0.2978,"desc":0.1196,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":51,"target":66,"weight":0.2976,"desc":0.1502,"prob":0.125,"fund":1.0,"seg":0.3333},{"source":157,"target":169,"weight":0.2976,"desc":0.1253,"prob":0.25,"fund":0.15,"seg":1.0},{"source":101,"target":158,"weight":0.2975,"desc":0.2563,"prob":0.4,"fund":0.0,"seg":0.5},{"source":9,"target":186,"weight":0.2974,"desc":0.1871,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":209,"target":210,"weight":0.2974,"desc":0.1624,"prob":0.2,"fund":0.15,"seg":1.0},{"source":227,"target":233,"weight":0.2974,"desc":0.0685,"prob":0.4,"fund":0.0,"seg":1.0},{"source":313,"target":315,"weight":0.2974,"desc":0.0685,"prob":0.4,"fund":0.0,"seg":1.0},{"source":50,"target":120,"weight":0.2973,"desc":0.2558,"prob":0.4,"fund":0.0,"seg":0.5},{"source":106,"target":301,"weight":0.2973,"desc":0.1496,"prob":0.6667,"fund":0.0,"seg":0.25},{"source":125,"target":167,"weight":0.2973,"desc":0.1807,"prob":0.25,"fund":0.0,"seg":1.0},{"source":178,"target":184,"weight":0.2972,"desc":0.1179,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":8,"target":64,"weight":0.2971,"desc":0.1865,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":179,"target":222,"weight":0.2968,"desc":0.367,"prob":0.5,"fund":0.0,"seg":0.0},{"source":40,"target":109,"weight":0.2967,"desc":0.1854,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":81,"target":85,"weight":0.2967,"desc":0.3667,"prob":0.0,"fund":0.3333,"seg":0.6667},{"source":209,"target":215,"weight":0.2967,"desc":0.1855,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":150,"target":169,"weight":0.2966,"desc":0.0604,"prob":0.3333,"fund":0.15,"seg":1.0},{"source":54,"target":71,"weight":0.2965,"desc":0.2536,"prob":0.4,"fund":0.0,"seg":0.5},{"source":25,"target":105,"weight":0.2961,"desc":0.151,"prob":0.2857,"fund":0.5,"seg":0.5},{"source":185,"target":320,"weight":0.2961,"desc":0.0653,"prob":0.4,"fund":0.0,"seg":1.0},{"source":261,"target":284,"weight":0.2957,"desc":0.1142,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":32,"target":240,"weight":0.2956,"desc":0.1765,"prob":0.75,"fund":0.0,"seg":0.0},{"source":281,"target":291,"weight":0.2955,"desc":0.2004,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":51,"target":54,"weight":0.2954,"desc":0.301,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":108,"target":289,"weight":0.2953,"desc":0.1758,"prob":0.1667,"fund":0.5,"seg":0.6667},{"source":198,"target":321,"weight":0.2953,"desc":0.0926,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":180,"target":190,"weight":0.2951,"desc":0.1753,"prob":0.25,"fund":0.0,"seg":1.0},{"source":191,"target":196,"weight":0.295,"desc":0.1125,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":24,"target":253,"weight":0.2949,"desc":0.1186,"prob":0.75,"fund":0.15,"seg":0.0},{"source":180,"target":307,"weight":0.2949,"desc":0.1122,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":67,"target":71,"weight":0.2948,"desc":0.2496,"prob":0.4,"fund":0.0,"seg":0.5},{"source":195,"target":313,"weight":0.2947,"desc":0.1116,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":20,"target":24,"weight":0.2946,"desc":0.099,"prob":0.6,"fund":0.0,"seg":0.5},{"source":145,"target":146,"weight":0.2946,"desc":0.1801,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":237,"target":241,"weight":0.2945,"desc":0.1979,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":81,"target":86,"weight":0.2944,"desc":0.1736,"prob":0.5,"fund":0.0,"seg":0.5},{"source":267,"target":273,"weight":0.2944,"desc":0.111,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":316,"target":317,"weight":0.2943,"desc":0.117,"prob":0.25,"fund":0.15,"seg":1.0},{"source":106,"target":107,"weight":0.2942,"desc":0.1729,"prob":0.25,"fund":0.0,"seg":1.0},{"source":316,"target":326,"weight":0.2942,"desc":0.1168,"prob":0.25,"fund":0.15,"seg":1.0},{"source":28,"target":270,"weight":0.294,"desc":0.3599,"prob":0.5,"fund":0.0,"seg":0.0},{"source":129,"target":145,"weight":0.2939,"desc":0.1786,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":51,"target":56,"weight":0.2937,"desc":0.1449,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":191,"target":199,"weight":0.2937,"desc":0.1092,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":114,"target":301,"weight":0.2936,"desc":0.234,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":247,"target":249,"weight":0.2936,"desc":0.3028,"prob":0.25,"fund":0.15,"seg":0.5},{"source":8,"target":56,"weight":0.2935,"desc":0.1775,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":157,"target":167,"weight":0.2932,"desc":0.1705,"prob":0.25,"fund":0.0,"seg":1.0},{"source":291,"target":304,"weight":0.2932,"desc":0.208,"prob":0.125,"fund":0.15,"seg":1.0},{"source":108,"target":112,"weight":0.293,"desc":0.17,"prob":0.5,"fund":0.0,"seg":0.5},{"source":216,"target":264,"weight":0.2929,"desc":0.1322,"prob":0.8,"fund":0.0,"seg":0.0},{"source":245,"target":248,"weight":0.2928,"desc":0.1881,"prob":0.4,"fund":0.15,"seg":0.5},{"source":277,"target":299,"weight":0.2928,"desc":0.3007,"prob":0.0,"fund":0.15,"seg":1.0},{"source":303,"target":305,"weight":0.2928,"desc":0.2857,"prob":0.4286,"fund":0.0,"seg":0.3333},{"source":227,"target":250,"weight":0.2926,"desc":0.1128,"prob":0.25,"fund":0.15,"seg":1.0},{"source":177,"target":179,"weight":0.2925,"desc":0.1124,"prob":0.25,"fund":0.15,"seg":1.0},{"source":262,"target":265,"weight":0.2923,"desc":0.237,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":269,"target":302,"weight":0.2923,"desc":0.2933,"prob":0.1667,"fund":0.3333,"seg":0.5},{"source":4,"target":142,"weight":0.2922,"desc":0.3555,"prob":0.5,"fund":0.0,"seg":0.0},{"source":27,"target":269,"weight":0.2922,"desc":0.1118,"prob":0.5,"fund":0.15,"seg":0.5},{"source":183,"target":196,"weight":0.2918,"desc":0.1045,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":283,"target":291,"weight":0.2918,"desc":0.3545,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":5,"target":12,"weight":0.2917,"desc":0.2917,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":264,"target":302,"weight":0.2917,"desc":0.247,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":112,"target":286,"weight":0.2916,"desc":0.1727,"prob":0.6667,"fund":0.15,"seg":0.0},{"source":100,"target":113,"weight":0.2915,"desc":0.1395,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":178,"target":327,"weight":0.2915,"desc":0.0539,"prob":0.4,"fund":0.0,"seg":1.0},{"source":269,"target":292,"weight":0.2915,"desc":0.1476,"prob":0.2,"fund":0.15,"seg":1.0},{"source":106,"target":113,"weight":0.2914,"desc":0.166,"prob":0.5,"fund":0.0,"seg":0.5},{"source":27,"target":106,"weight":0.2913,"desc":0.1033,"prob":0.6667,"fund":0.0,"seg":0.3333},{"source":87,"target":288,"weight":0.2913,"desc":0.3283,"prob":0.125,"fund":0.15,"seg":0.6667},{"source":192,"target":195,"weight":0.2912,"desc":0.1092,"prob":0.25,"fund":0.15,"seg":1.0},{"source":267,"target":288,"weight":0.2909,"desc":0.1022,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":87,"target":287,"weight":0.2906,"desc":0.2016,"prob":0.125,"fund":0.15,"seg":1.0},{"source":188,"target":191,"weight":0.2905,"desc":0.1639,"prob":0.25,"fund":0.0,"seg":1.0},{"source":291,"target":295,"weight":0.2905,"desc":0.2264,"prob":0.0,"fund":1.0,"seg":0.3333},{"source":74,"target":96,"weight":0.2904,"desc":0.2259,"prob":0.3333,"fund":0.0,"seg":0.6667},{"source":38,"target":105,"weight":0.2902,"desc":0.1504,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":257,"target":277,"weight":0.2902,"desc":0.1443,"prob":0.2,"fund":0.15,"seg":1.0},{"source":4,"target":259,"weight":0.2901,"desc":0.244,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":234,"target":250,"weight":0.2901,"desc":0.1689,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":267,"target":298,"weight":0.2901,"desc":0.1441,"prob":0.2,"fund":0.15,"seg":1.0},{"source":205,"target":210,"weight":0.2899,"desc":0.1684,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":231,"target":241,"weight":0.2899,"desc":0.1435,"prob":0.2,"fund":0.15,"seg":1.0},{"source":258,"target":271,"weight":0.2899,"desc":0.231,"prob":0.25,"fund":0.15,"seg":0.6667},{"source":279,"target":282,"weight":0.2897,"desc":0.0993,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":17,"target":288,"weight":0.2896,"desc":0.149,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":225,"target":233,"weight":0.2896,"desc":0.0989,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":207,"target":218,"weight":0.2893,"desc":0.167,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":60,"target":229,"weight":0.2892,"desc":0.2587,"prob":0.2857,"fund":0.0,"seg":0.6667},{"source":223,"target":280,"weight":0.2892,"desc":0.2917,"prob":0.5,"fund":0.15,"seg":0.0},{"source":293,"target":298,"weight":0.2891,"desc":0.2916,"prob":0.0,"fund":0.15,"seg":1.0},{"source":180,"target":309,"weight":0.289,"desc":0.0974,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":113,"target":118,"weight":0.2889,"desc":0.0973,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":198,"target":322,"weight":0.2886,"desc":0.0759,"prob":0.2857,"fund":0.15,"seg":1.0},{"source":182,"target":195,"weight":0.2884,"desc":0.1318,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":10,"target":51,"weight":0.2883,"desc":0.2208,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":10,"target":60,"weight":0.2882,"desc":0.2518,"prob":0.125,"fund":0.0,"seg":1.0},{"source":202,"target":211,"weight":0.2877,"desc":0.2381,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":309,"target":322,"weight":0.2876,"desc":0.1377,"prob":0.2,"fund":0.15,"seg":1.0},{"source":182,"target":191,"weight":0.2875,"desc":0.1295,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":267,"target":291,"weight":0.2875,"desc":0.1804,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":204,"target":217,"weight":0.2874,"desc":0.1622,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":155,"target":162,"weight":0.2873,"desc":0.2871,"prob":0.25,"fund":0.15,"seg":0.5},{"source":235,"target":250,"weight":0.2873,"desc":0.1371,"prob":0.2,"fund":0.15,"seg":1.0},{"source":204,"target":209,"weight":0.2872,"desc":0.1618,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":267,"target":276,"weight":0.2872,"desc":0.0929,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":13,"target":25,"weight":0.2871,"desc":0.2686,"prob":0.3571,"fund":0.15,"seg":0.3333},{"source":236,"target":253,"weight":0.2871,"desc":0.1552,"prob":0.5,"fund":0.0,"seg":0.5},{"source":277,"target":293,"weight":0.2871,"desc":0.2865,"prob":0.0,"fund":0.15,"seg":1.0},{"source":244,"target":251,"weight":0.287,"desc":0.0988,"prob":0.5,"fund":0.15,"seg":0.5},{"source":2,"target":85,"weight":0.2868,"desc":0.1919,"prob":0.2,"fund":0.0,"seg":1.0},{"source":0,"target":9,"weight":0.2866,"desc":0.1604,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":314,"target":315,"weight":0.2866,"desc":0.154,"prob":0.25,"fund":0.0,"seg":1.0},{"source":107,"target":110,"weight":0.2865,"desc":0.1601,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":326,"target":327,"weight":0.2863,"desc":0.1346,"prob":0.2,"fund":0.15,"seg":1.0},{"source":132,"target":167,"weight":0.2862,"desc":0.1904,"prob":0.2,"fund":0.0,"seg":1.0},{"source":145,"target":161,"weight":0.2862,"desc":0.1592,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":190,"target":325,"weight":0.2858,"desc":0.1519,"prob":0.25,"fund":0.0,"seg":1.0},{"source":310,"target":320,"weight":0.2856,"desc":0.0951,"prob":0.25,"fund":0.15,"seg":1.0},{"source":66,"target":68,"weight":0.2855,"desc":0.2261,"prob":0.4,"fund":0.0,"seg":0.5},{"source":53,"target":69,"weight":0.2854,"desc":0.1886,"prob":0.2,"fund":0.0,"seg":1.0},{"source":240,"target":241,"weight":0.2851,"desc":0.1564,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":97,"target":118,"weight":0.2847,"desc":0.1305,"prob":0.2,"fund":0.15,"seg":1.0},{"source":24,"target":236,"weight":0.2846,"desc":0.2115,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":312,"target":324,"weight":0.2846,"desc":0.1553,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":312,"target":315,"weight":0.2845,"desc":0.0863,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":58,"target":205,"weight":0.2844,"desc":0.2798,"prob":0.5,"fund":0.15,"seg":0.0},{"source":118,"target":158,"weight":0.2842,"desc":0.2167,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":309,"target":321,"weight":0.2842,"desc":0.1293,"prob":0.2,"fund":0.15,"seg":1.0},{"source":174,"target":307,"weight":0.2839,"desc":0.1285,"prob":0.2,"fund":0.15,"seg":1.0},{"source":182,"target":197,"weight":0.2839,"desc":0.1205,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":222,"target":234,"weight":0.2839,"desc":0.1847,"prob":0.125,"fund":0.15,"seg":1.0},{"source":108,"target":284,"weight":0.2838,"desc":0.2281,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":129,"target":162,"weight":0.2836,"desc":0.1653,"prob":0.4,"fund":0.15,"seg":0.5},{"source":271,"target":298,"weight":0.2834,"desc":0.2772,"prob":0.0,"fund":0.15,"seg":1.0},{"source":194,"target":200,"weight":0.2833,"desc":0.1457,"prob":0.25,"fund":0.0,"seg":1.0},{"source":195,"target":199,"weight":0.2833,"desc":0.0833,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":51,"target":77,"weight":0.2832,"desc":0.2393,"prob":0.125,"fund":1.0,"seg":0.0},{"source":154,"target":162,"weight":0.2831,"desc":0.2141,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":60,"target":177,"weight":0.283,"desc":0.261,"prob":0.4286,"fund":0.0,"seg":0.3333},{"source":271,"target":293,"weight":0.283,"desc":0.2761,"prob":0.0,"fund":0.15,"seg":1.0},{"source":5,"target":216,"weight":0.2828,"desc":0.1071,"prob":0.8,"fund":0.0,"seg":0.0},{"source":201,"target":277,"weight":0.2828,"desc":0.1444,"prob":0.75,"fund":0.0,"seg":0.0},{"source":126,"target":266,"weight":0.2827,"desc":0.4568,"prob":0.3333,"fund":0.0,"seg":0.0},{"source":246,"target":252,"weight":0.2827,"desc":0.0879,"prob":0.25,"fund":0.15,"seg":1.0},{"source":191,"target":312,"weight":0.2824,"desc":0.1168,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":257,"target":297,"weight":0.2824,"desc":0.0872,"prob":0.25,"fund":0.15,"seg":1.0},{"source":117,"target":118,"weight":0.2823,"desc":0.1808,"prob":0.2,"fund":0.0,"seg":1.0},{"source":185,"target":219,"weight":0.2823,"desc":0.1433,"prob":0.75,"fund":0.0,"seg":0.0},{"source":218,"target":313,"weight":0.2823,"desc":0.1432,"prob":0.75,"fund":0.0,"seg":0.0},{"source":57,"target":110,"weight":0.2822,"desc":0.2367,"prob":0.5,"fund":0.0,"seg":0.25},{"source":285,"target":295,"weight":0.2822,"desc":0.1118,"prob":0.6667,"fund":0.0,"seg":0.25},{"source":122,"target":145,"weight":0.2821,"desc":0.124,"prob":0.2,"fund":0.15,"seg":1.0},{"source":83,"target":205,"weight":0.282,"desc":0.205,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":274,"target":302,"weight":0.282,"desc":0.2469,"prob":0.2857,"fund":0.25,"seg":0.4},{"source":291,"target":297,"weight":0.282,"desc":0.1238,"prob":0.2,"fund":0.15,"seg":1.0},{"source":98,"target":168,"weight":0.2817,"desc":0.2106,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":12,"target":60,"weight":0.2816,"desc":0.3021,"prob":0.2857,"fund":0.0,"seg":0.5},{"source":151,"target":233,"weight":0.2816,"desc":0.1416,"prob":0.75,"fund":0.0,"seg":0.0},{"source":47,"target":116,"weight":0.2815,"desc":0.2036,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":109,"target":228,"weight":0.2815,"desc":0.1474,"prob":0.6667,"fund":0.15,"seg":0.0},{"source":136,"target":167,"weight":0.2815,"desc":0.1788,"prob":0.2,"fund":0.0,"seg":1.0},{"source":17,"target":280,"weight":0.2813,"desc":0.1657,"prob":0.3,"fund":0.3333,"seg":0.5},{"source":292,"target":303,"weight":0.2813,"desc":0.221,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":279,"target":280,"weight":0.2812,"desc":0.1219,"prob":0.2,"fund":0.15,"seg":1.0},{"source":269,"target":278,"weight":0.2806,"desc":0.1389,"prob":0.25,"fund":0.0,"seg":1.0},{"source":188,"target":315,"weight":0.2805,"desc":0.112,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":17,"target":223,"weight":0.2804,"desc":0.3233,"prob":0.4286,"fund":0.15,"seg":0.0},{"source":208,"target":215,"weight":0.2804,"desc":0.1447,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":52,"target":71,"weight":0.2803,"desc":0.2634,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":45,"target":112,"weight":0.2802,"desc":0.2005,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":80,"target":92,"weight":0.2802,"desc":0.1256,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":269,"target":301,"weight":0.2801,"desc":0.2002,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":22,"target":87,"weight":0.28,"desc":0.1001,"prob":0.6,"fund":0.0,"seg":0.4},{"source":53,"target":56,"weight":0.28,"desc":0.1615,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":85,"target":94,"weight":0.28,"desc":0.3429,"prob":0.1429,"fund":0.0,"seg":0.6667},{"source":78,"target":225,"weight":0.2799,"desc":0.2686,"prob":0.5,"fund":0.15,"seg":0.0},{"source":224,"target":251,"weight":0.2799,"desc":0.1186,"prob":0.2,"fund":0.15,"seg":1.0},{"source":259,"target":281,"weight":0.2799,"desc":0.2685,"prob":0.0,"fund":0.15,"seg":1.0},{"source":174,"target":326,"weight":0.2794,"desc":0.1172,"prob":0.2,"fund":0.15,"seg":1.0},{"source":116,"target":258,"weight":0.2793,"desc":0.1732,"prob":0.5,"fund":0.15,"seg":0.25},{"source":321,"target":326,"weight":0.2792,"desc":0.1167,"prob":0.2,"fund":0.15,"seg":1.0},{"source":86,"target":90,"weight":0.2791,"desc":0.1353,"prob":0.5,"fund":0.0,"seg":0.5},{"source":57,"target":63,"weight":0.2789,"desc":0.3222,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":309,"target":323,"weight":0.2789,"desc":0.116,"prob":0.2,"fund":0.15,"seg":1.0},{"source":288,"target":298,"weight":0.2785,"desc":0.1712,"prob":0.2,"fund":0.0,"seg":1.0},{"source":73,"target":188,"weight":0.2784,"desc":0.246,"prob":0.6,"fund":0.0,"seg":0.0},{"source":223,"target":245,"weight":0.2784,"desc":0.171,"prob":0.125,"fund":0.15,"seg":1.0},{"source":227,"target":235,"weight":0.2784,"desc":0.1397,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":245,"target":252,"weight":0.2782,"desc":0.1143,"prob":0.2,"fund":0.15,"seg":1.0},{"source":191,"target":315,"weight":0.2779,"desc":0.1054,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":242,"target":243,"weight":0.2778,"desc":0.1946,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":51,"target":63,"weight":0.2777,"desc":0.2567,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":309,"target":310,"weight":0.2777,"desc":0.0692,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":312,"target":325,"weight":0.2777,"desc":0.1129,"prob":0.2,"fund":0.15,"seg":1.0},{"source":4,"target":9,"weight":0.2776,"desc":0.1378,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":131,"target":167,"weight":0.2776,"desc":0.2119,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":224,"target":241,"weight":0.2776,"desc":0.1557,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":258,"target":278,"weight":0.2775,"desc":0.1374,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":272,"target":285,"weight":0.2775,"desc":0.1187,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":318,"target":325,"weight":0.2773,"desc":0.0745,"prob":0.25,"fund":0.15,"seg":1.0},{"source":153,"target":167,"weight":0.2772,"desc":0.1306,"prob":0.25,"fund":0.0,"seg":1.0},{"source":201,"target":210,"weight":0.2772,"desc":0.1119,"prob":0.2,"fund":0.15,"seg":1.0},{"source":9,"target":56,"weight":0.277,"desc":0.2613,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":66,"target":77,"weight":0.277,"desc":0.1925,"prob":0.0,"fund":1.0,"seg":0.3333},{"source":290,"target":293,"weight":0.277,"desc":0.1924,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":294,"target":298,"weight":0.2769,"desc":0.261,"prob":0.0,"fund":0.15,"seg":1.0},{"source":99,"target":110,"weight":0.2768,"desc":0.1669,"prob":0.2,"fund":0.0,"seg":1.0},{"source":298,"target":299,"weight":0.2768,"desc":0.2607,"prob":0.0,"fund":0.15,"seg":1.0},{"source":23,"target":328,"weight":0.2765,"desc":0.0724,"prob":0.25,"fund":0.15,"seg":1.0},{"source":59,"target":179,"weight":0.2765,"desc":0.1913,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":83,"target":94,"weight":0.2764,"desc":0.1284,"prob":0.5,"fund":0.0,"seg":0.5},{"source":162,"target":302,"weight":0.2763,"desc":0.2531,"prob":0.1667,"fund":0.5,"seg":0.3333},{"source":178,"target":193,"weight":0.2763,"desc":0.0657,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":218,"target":221,"weight":0.2762,"desc":0.1341,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":109,"target":258,"weight":0.2761,"desc":0.1651,"prob":0.5,"fund":0.15,"seg":0.25},{"source":181,"target":190,"weight":0.276,"desc":0.1087,"prob":0.2,"fund":0.15,"seg":1.0},{"source":7,"target":188,"weight":0.2758,"desc":0.2396,"prob":0.6,"fund":0.0,"seg":0.0},{"source":80,"target":87,"weight":0.2758,"desc":0.1456,"prob":0.6,"fund":0.0,"seg":0.25},{"source":234,"target":252,"weight":0.2757,"desc":0.1509,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":25,"target":38,"weight":0.2755,"desc":0.1264,"prob":0.5,"fund":0.0,"seg":0.5},{"source":239,"target":240,"weight":0.2754,"desc":0.1502,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":201,"target":217,"weight":0.2753,"desc":0.2071,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":290,"target":298,"weight":0.2751,"desc":0.1877,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":77,"target":274,"weight":0.275,"desc":0.2856,"prob":0.2857,"fund":0.3333,"seg":0.1667},{"source":307,"target":325,"weight":0.275,"desc":0.0626,"prob":0.3333,"fund":0.0,"seg":1.0},{"source":257,"target":281,"weight":0.2749,"desc":0.1309,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":19,"target":260,"weight":0.2748,"desc":0.3307,"prob":0.4,"fund":0.15,"seg":0.0},{"source":202,"target":207,"weight":0.2748,"desc":0.2057,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":196,"target":233,"weight":0.2746,"desc":0.1239,"prob":0.75,"fund":0.0,"seg":0.0},{"source":14,"target":259,"weight":0.2745,"desc":0.2149,"prob":0.4286,"fund":0.15,"seg":0.25},{"source":114,"target":118,"weight":0.2743,"desc":0.1608,"prob":0.2,"fund":0.0,"seg":1.0},{"source":222,"target":235,"weight":0.2743,"desc":0.1474,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":293,"target":303,"weight":0.2743,"desc":0.1982,"prob":0.4,"fund":0.0,"seg":0.5},{"source":223,"target":305,"weight":0.2741,"desc":0.2567,"prob":0.5714,"fund":0.0,"seg":0.0},{"source":222,"target":225,"weight":0.274,"desc":0.1466,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":19,"target":107,"weight":0.2738,"desc":0.2534,"prob":0.5,"fund":0.15,"seg":0.0},{"source":77,"target":200,"weight":0.2738,"desc":0.0846,"prob":0.8,"fund":0.0,"seg":0.0},{"source":36,"target":112,"weight":0.2737,"desc":0.1218,"prob":0.75,"fund":0.0,"seg":0.0},{"source":82,"target":285,"weight":0.2737,"desc":0.1342,"prob":0.4,"fund":0.0,"seg":0.6667},{"source":22,"target":295,"weight":0.2736,"desc":0.1091,"prob":0.6667,"fund":0.0,"seg":0.2},{"source":204,"target":208,"weight":0.2736,"desc":0.1278,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":260,"target":297,"weight":0.2735,"desc":0.1025,"prob":0.2,"fund":0.15,"seg":1.0},{"source":15,"target":24,"weight":0.2733,"desc":0.127,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":51,"target":274,"weight":0.2733,"desc":0.2207,"prob":0.25,"fund":0.3333,"seg":0.4},{"source":124,"target":167,"weight":0.2733,"desc":0.1582,"prob":0.2,"fund":0.0,"seg":1.0},{"source":264,"target":269,"weight":0.2733,"desc":0.1957,"prob":0.4,"fund":0.0,"seg":0.5},{"source":23,"target":236,"weight":0.2732,"desc":0.183,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":82,"target":95,"weight":0.2729,"desc":0.1572,"prob":0.2,"fund":0.0,"seg":1.0},{"source":87,"target":139,"weight":0.2729,"desc":0.1761,"prob":0.6,"fund":0.15,"seg":0.0},{"source":122,"target":285,"weight":0.2729,"desc":0.3073,"prob":0.5,"fund":0.0,"seg":0.0},{"source":118,"target":170,"weight":0.2728,"desc":0.1883,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":177,"target":183,"weight":0.2728,"desc":0.173,"prob":0.4286,"fund":0.0,"seg":0.5},{"source":209,"target":219,"weight":0.2728,"desc":0.1257,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":47,"target":113,"weight":0.2726,"desc":0.119,"prob":0.75,"fund":0.0,"seg":0.0},{"source":60,"target":270,"weight":0.2726,"desc":0.3065,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":252,"target":295,"weight":0.2725,"desc":0.1812,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":78,"target":272,"weight":0.2723,"desc":0.2093,"prob":0.4286,"fund":0.0,"seg":0.4},{"source":199,"target":273,"weight":0.2722,"desc":0.118,"prob":0.75,"fund":0.0,"seg":0.0},{"source":145,"target":158,"weight":0.2721,"desc":0.1365,"prob":0.4,"fund":0.15,"seg":0.5},{"source":69,"target":223,"weight":0.272,"desc":0.2634,"prob":0.5556,"fund":0.0,"seg":0.0},{"source":273,"target":288,"weight":0.2719,"desc":0.1413,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":167,"target":168,"weight":0.2717,"desc":0.2418,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":234,"target":238,"weight":0.2717,"desc":0.2481,"prob":0.0,"fund":0.15,"seg":1.0},{"source":208,"target":220,"weight":0.2715,"desc":0.1403,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":24,"target":246,"weight":0.2714,"desc":0.1223,"prob":0.6667,"fund":0.15,"seg":0.0},{"source":96,"target":287,"weight":0.2714,"desc":0.1911,"prob":0.4,"fund":0.0,"seg":0.5},{"source":190,"target":197,"weight":0.2714,"desc":0.1963,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":324,"target":325,"weight":0.2713,"desc":0.0595,"prob":0.25,"fund":0.15,"seg":1.0},{"source":117,"target":301,"weight":0.2712,"desc":0.1781,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":281,"target":293,"weight":0.2708,"desc":0.2458,"prob":0.0,"fund":0.15,"seg":1.0},{"source":15,"target":117,"weight":0.2707,"desc":0.3018,"prob":0.25,"fund":0.5,"seg":0.0},{"source":257,"target":304,"weight":0.2707,"desc":0.1384,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":178,"target":229,"weight":0.2706,"desc":0.114,"prob":0.75,"fund":0.0,"seg":0.0},{"source":198,"target":312,"weight":0.2706,"desc":0.0873,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":93,"target":319,"weight":0.2701,"desc":0.1128,"prob":0.75,"fund":0.0,"seg":0.0},{"source":51,"target":53,"weight":0.2698,"desc":0.0853,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":272,"target":295,"weight":0.2698,"desc":0.2246,"prob":0.4,"fund":0.0,"seg":0.4},{"source":217,"target":262,"weight":0.2695,"desc":0.1738,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":74,"target":92,"weight":0.2694,"desc":0.1109,"prob":0.25,"fund":0.0,"seg":1.0},{"source":202,"target":218,"weight":0.2693,"desc":0.2421,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":206,"target":214,"weight":0.2692,"desc":0.173,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":260,"target":293,"weight":0.2691,"desc":0.2416,"prob":0.0,"fund":0.15,"seg":1.0},{"source":17,"target":274,"weight":0.2688,"desc":0.3015,"prob":0.2857,"fund":0.25,"seg":0.1667},{"source":67,"target":69,"weight":0.2685,"desc":0.3525,"prob":0.1,"fund":0.15,"seg":0.5},{"source":225,"target":245,"weight":0.2684,"desc":0.1147,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":62,"target":71,"weight":0.2683,"desc":0.2394,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":26,"target":230,"weight":0.2682,"desc":0.0991,"prob":0.4286,"fund":0.0,"seg":0.6667},{"source":203,"target":217,"weight":0.2682,"desc":0.1704,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":78,"target":285,"weight":0.2679,"desc":0.1261,"prob":0.6,"fund":0.0,"seg":0.25},{"source":205,"target":215,"weight":0.2679,"desc":0.1314,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":50,"target":71,"weight":0.2677,"desc":0.2318,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":93,"target":321,"weight":0.2676,"desc":0.1066,"prob":0.75,"fund":0.0,"seg":0.0},{"source":40,"target":75,"weight":0.2675,"desc":0.1875,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":119,"target":133,"weight":0.2675,"desc":0.1867,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":259,"target":293,"weight":0.2674,"desc":0.2372,"prob":0.0,"fund":0.15,"seg":1.0},{"source":145,"target":155,"weight":0.2673,"desc":0.2369,"prob":0.0,"fund":0.15,"seg":1.0},{"source":293,"target":299,"weight":0.2673,"desc":0.237,"prob":0.0,"fund":0.15,"seg":1.0},{"source":86,"target":95,"weight":0.2671,"desc":0.1052,"prob":0.5,"fund":0.0,"seg":0.5},{"source":212,"target":217,"weight":0.2666,"desc":0.1666,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":267,"target":281,"weight":0.2665,"desc":0.1279,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":19,"target":101,"weight":0.2664,"desc":0.2346,"prob":0.5,"fund":0.15,"seg":0.0},{"source":23,"target":246,"weight":0.2664,"desc":0.1096,"prob":0.6667,"fund":0.15,"seg":0.0},{"source":4,"target":287,"weight":0.2663,"desc":0.272,"prob":0.4,"fund":0.0,"seg":0.25},{"source":51,"target":267,"weight":0.2663,"desc":0.1658,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":74,"target":82,"weight":0.2662,"desc":0.0762,"prob":0.2857,"fund":0.0,"seg":1.0},{"source":122,"target":126,"weight":0.2661,"desc":0.084,"prob":0.2,"fund":0.15,"seg":1.0},{"source":85,"target":93,"weight":0.266,"desc":0.2899,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":210,"target":212,"weight":0.2659,"desc":0.1024,"prob":0.25,"fund":0.0,"seg":1.0},{"source":208,"target":213,"weight":0.2658,"desc":0.0833,"prob":0.2,"fund":0.15,"seg":1.0},{"source":98,"target":118,"weight":0.2655,"desc":0.1076,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":226,"target":253,"weight":0.2655,"desc":0.1201,"prob":0.4,"fund":0.15,"seg":0.5},{"source":244,"target":255,"weight":0.2655,"desc":0.1013,"prob":0.5,"fund":0.0,"seg":0.5},{"source":209,"target":212,"weight":0.2653,"desc":0.1633,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":258,"target":265,"weight":0.2653,"desc":0.1069,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":280,"target":305,"weight":0.2652,"desc":0.238,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":215,"target":220,"weight":0.265,"desc":0.1062,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":51,"target":69,"weight":0.2649,"desc":0.1508,"prob":0.1818,"fund":0.0,"seg":1.0},{"source":271,"target":299,"weight":0.2649,"desc":0.231,"prob":0.0,"fund":0.15,"seg":1.0},{"source":276,"target":298,"weight":0.2649,"desc":0.1374,"prob":0.2,"fund":0.0,"seg":1.0},{"source":92,"target":285,"weight":0.2648,"desc":0.1057,"prob":0.3333,"fund":0.15,"seg":0.6667},{"source":87,"target":273,"weight":0.2645,"desc":0.1408,"prob":0.2857,"fund":0.15,"seg":0.6667},{"source":222,"target":253,"weight":0.2644,"desc":0.1225,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":16,"target":248,"weight":0.2642,"desc":0.2606,"prob":0.3333,"fund":0.15,"seg":0.25},{"source":293,"target":304,"weight":0.2642,"desc":0.2293,"prob":0.0,"fund":0.15,"seg":1.0},{"source":126,"target":127,"weight":0.2638,"desc":0.1031,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":7,"target":283,"weight":0.2637,"desc":0.2842,"prob":0.5,"fund":0.0,"seg":0.0},{"source":38,"target":109,"weight":0.2637,"desc":0.1592,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":230,"target":235,"weight":0.2637,"desc":0.3842,"prob":0.125,"fund":0.15,"seg":0.3333},{"source":4,"target":14,"weight":0.2636,"desc":0.259,"prob":0.125,"fund":0.15,"seg":0.6667},{"source":126,"target":143,"weight":0.2635,"desc":0.1205,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":145,"target":154,"weight":0.2634,"desc":0.12,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":79,"target":84,"weight":0.2633,"desc":0.0957,"prob":0.25,"fund":0.0,"seg":1.0},{"source":227,"target":245,"weight":0.2633,"desc":0.077,"prob":0.2,"fund":0.15,"seg":1.0},{"source":16,"target":229,"weight":0.2632,"desc":0.1196,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":208,"target":219,"weight":0.2631,"desc":0.1014,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":58,"target":71,"weight":0.2629,"desc":0.2198,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":247,"target":250,"weight":0.2628,"desc":0.2256,"prob":0.25,"fund":0.15,"seg":0.5},{"source":142,"target":231,"weight":0.2627,"desc":0.2818,"prob":0.5,"fund":0.0,"seg":0.0},{"source":51,"target":275,"weight":0.2626,"desc":0.1565,"prob":0.25,"fund":0.5,"seg":0.3333},{"source":233,"target":234,"weight":0.2626,"desc":0.1877,"prob":0.125,"fund":0.0,"seg":1.0},{"source":59,"target":110,"weight":0.2625,"desc":0.2063,"prob":0.6,"fund":0.0,"seg":0.0},{"source":184,"target":200,"weight":0.2625,"desc":0.0937,"prob":0.25,"fund":0.0,"seg":1.0},{"source":9,"target":10,"weight":0.2623,"desc":0.2245,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":15,"target":17,"weight":0.2621,"desc":0.1052,"prob":0.4,"fund":0.0,"seg":0.6667},{"source":24,"target":328,"weight":0.2618,"desc":0.0358,"prob":0.25,"fund":0.15,"seg":1.0},{"source":86,"target":277,"weight":0.2616,"desc":0.0914,"prob":0.75,"fund":0.0,"seg":0.0},{"source":17,"target":270,"weight":0.2615,"desc":0.1539,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":29,"target":85,"weight":0.2614,"desc":0.1535,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":15,"target":260,"weight":0.2611,"desc":0.2029,"prob":0.4,"fund":0.15,"seg":0.25},{"source":9,"target":275,"weight":0.2609,"desc":0.1524,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":84,"target":201,"weight":0.2609,"desc":0.0896,"prob":0.75,"fund":0.0,"seg":0.0},{"source":238,"target":243,"weight":0.2609,"desc":0.1586,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":76,"target":235,"weight":0.2607,"desc":0.4018,"prob":0.3333,"fund":0.0,"seg":0.0},{"source":135,"target":270,"weight":0.2607,"desc":0.2768,"prob":0.5,"fund":0.0,"seg":0.0},{"source":205,"target":219,"weight":0.2607,"desc":0.1133,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":81,"target":82,"weight":0.2603,"desc":0.1257,"prob":0.2,"fund":0.0,"seg":1.0},{"source":180,"target":199,"weight":0.2602,"desc":0.0881,"prob":0.25,"fund":0.0,"seg":1.0},{"source":224,"target":227,"weight":0.2601,"desc":0.1117,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":92,"target":203,"weight":0.26,"desc":0.075,"prob":0.6,"fund":0.0,"seg":0.3333},{"source":208,"target":211,"weight":0.26,"desc":0.1688,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":245,"target":246,"weight":0.2599,"desc":0.0309,"prob":0.25,"fund":0.15,"seg":1.0},{"source":262,"target":299,"weight":0.2598,"desc":0.2182,"prob":0.0,"fund":0.15,"seg":1.0},{"source":19,"target":247,"weight":0.2595,"desc":0.2175,"prob":0.5,"fund":0.15,"seg":0.0},{"source":40,"target":116,"weight":0.2594,"desc":0.0922,"prob":0.5,"fund":0.15,"seg":0.3333},{"source":290,"target":305,"weight":0.2591,"desc":0.2103,"prob":0.25,"fund":0.0,"seg":0.6667},{"source":162,"target":173,"weight":0.2587,"desc":0.103,"prob":0.4,"fund":0.15,"seg":0.5},{"source":187,"target":196,"weight":0.2586,"desc":0.1643,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":139,"target":170,"weight":0.2585,"desc":0.1026,"prob":0.4,"fund":0.15,"seg":0.5},{"source":14,"target":289,"weight":0.2584,"desc":0.1459,"prob":0.25,"fund":0.3333,"seg":0.5},{"source":4,"target":8,"weight":0.2583,"desc":0.1074,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":12,"target":28,"weight":0.2583,"desc":0.3457,"prob":0.4,"fund":0.0,"seg":0.0},{"source":60,"target":235,"weight":0.2583,"desc":0.2707,"prob":0.5,"fund":0.0,"seg":0.0},{"source":69,"target":305,"weight":0.2582,"desc":0.2184,"prob":0.4444,"fund":0.0,"seg":0.25},{"source":282,"target":305,"weight":0.2582,"desc":0.199,"prob":0.4286,"fund":0.0,"seg":0.3333},{"source":25,"target":89,"weight":0.2579,"desc":0.1357,"prob":0.4286,"fund":0.0,"seg":0.5},{"source":22,"target":92,"weight":0.2578,"desc":0.1195,"prob":0.6,"fund":0.0,"seg":0.2},{"source":23,"target":109,"weight":0.2578,"desc":0.2131,"prob":0.25,"fund":0.15,"seg":0.5},{"source":189,"target":310,"weight":0.2577,"desc":0.1192,"prob":0.2,"fund":0.0,"seg":1.0},{"source":227,"target":234,"weight":0.2577,"desc":0.1058,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":201,"target":220,"weight":0.2575,"desc":0.1053,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":243,"target":255,"weight":0.2575,"desc":0.0811,"prob":0.5,"fund":0.0,"seg":0.5},{"source":266,"target":270,"weight":0.2575,"desc":0.1438,"prob":0.3333,"fund":0.0,"seg":0.6667},{"source":273,"target":298,"weight":0.2575,"desc":0.1188,"prob":0.2,"fund":0.0,"seg":1.0},{"source":72,"target":186,"weight":0.2572,"desc":0.4369,"prob":0.2,"fund":0.15,"seg":0.0},{"source":239,"target":246,"weight":0.2572,"desc":0.0618,"prob":0.2,"fund":0.15,"seg":1.0},{"source":126,"target":135,"weight":0.2571,"desc":0.0614,"prob":0.2,"fund":0.15,"seg":1.0},{"source":275,"target":286,"weight":0.2571,"desc":0.2177,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":80,"target":295,"weight":0.257,"desc":0.1425,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":281,"target":292,"weight":0.2568,"desc":0.0982,"prob":0.4,"fund":0.15,"seg":0.5},{"source":229,"target":235,"weight":0.2566,"desc":0.2102,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":22,"target":272,"weight":0.2565,"desc":0.2037,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":8,"target":286,"weight":0.2562,"desc":0.1592,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":27,"target":258,"weight":0.256,"desc":0.0837,"prob":0.3333,"fund":0.15,"seg":0.6667},{"source":230,"target":260,"weight":0.256,"desc":0.1151,"prob":0.5,"fund":0.15,"seg":0.25},{"source":60,"target":302,"weight":0.2557,"desc":0.2643,"prob":0.5,"fund":0.0,"seg":0.0},{"source":68,"target":210,"weight":0.2555,"desc":0.0824,"prob":0.6667,"fund":0.15,"seg":0.0},{"source":227,"target":246,"weight":0.2555,"desc":0.0199,"prob":0.25,"fund":0.15,"seg":1.0},{"source":13,"target":15,"weight":0.2554,"desc":0.1074,"prob":0.1333,"fund":0.15,"seg":1.0},{"source":273,"target":292,"weight":0.2554,"desc":0.151,"prob":0.4,"fund":0.0,"seg":0.5},{"source":126,"target":141,"weight":0.2553,"desc":0.0571,"prob":0.2,"fund":0.15,"seg":1.0},{"source":262,"target":264,"weight":0.2553,"desc":0.1382,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":276,"target":290,"weight":0.2553,"desc":0.1696,"prob":0.125,"fund":0.0,"seg":1.0},{"source":53,"target":295,"weight":0.255,"desc":0.1125,"prob":0.2,"fund":0.0,"seg":1.0},{"source":84,"target":86,"weight":0.255,"desc":0.1501,"prob":0.4,"fund":0.0,"seg":0.5},{"source":267,"target":304,"weight":0.2548,"desc":0.112,"prob":0.125,"fund":0.15,"seg":1.0},{"source":247,"target":251,"weight":0.2546,"desc":0.1428,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":44,"target":85,"weight":0.2545,"desc":0.1362,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":298,"target":305,"weight":0.2545,"desc":0.2611,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":13,"target":19,"weight":0.2544,"desc":0.2941,"prob":0.2143,"fund":0.15,"seg":0.3333},{"source":21,"target":258,"weight":0.2544,"desc":0.1424,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":162,"target":274,"weight":0.2544,"desc":0.1984,"prob":0.3333,"fund":0.3333,"seg":0.1667},{"source":242,"target":244,"weight":0.2544,"desc":0.136,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":218,"target":219,"weight":0.2543,"desc":0.1544,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":80,"target":202,"weight":0.2541,"desc":0.2101,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":209,"target":211,"weight":0.2538,"desc":0.1532,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":212,"target":220,"weight":0.2537,"desc":0.1342,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":69,"target":290,"weight":0.2535,"desc":0.1754,"prob":0.4444,"fund":0.0,"seg":0.3333},{"source":238,"target":252,"weight":0.2535,"desc":0.2025,"prob":0.0,"fund":0.15,"seg":1.0},{"source":28,"target":85,"weight":0.2532,"desc":0.2081,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":83,"target":84,"weight":0.2531,"desc":0.1952,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":53,"target":267,"weight":0.253,"desc":0.2013,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":66,"target":78,"weight":0.2527,"desc":0.1316,"prob":0.0,"fund":1.0,"seg":0.3333},{"source":9,"target":108,"weight":0.2526,"desc":0.2066,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":13,"target":21,"weight":0.2525,"desc":0.1531,"prob":0.0625,"fund":0.15,"seg":1.0},{"source":18,"target":189,"weight":0.2525,"desc":0.1813,"prob":0.6,"fund":0.0,"seg":0.0},{"source":239,"target":274,"weight":0.2523,"desc":0.2557,"prob":0.5,"fund":0.0,"seg":0.0},{"source":13,"target":20,"weight":0.2522,"desc":0.2689,"prob":0.3571,"fund":0.0,"seg":0.25},{"source":202,"target":216,"weight":0.2522,"desc":0.1993,"prob":0.0,"fund":0.15,"seg":1.0},{"source":13,"target":306,"weight":0.2519,"desc":0.219,"prob":0.2143,"fund":0.0,"seg":0.6667},{"source":293,"target":300,"weight":0.2518,"desc":0.1296,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":166,"target":170,"weight":0.2517,"desc":0.1356,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":108,"target":263,"weight":0.2511,"desc":0.159,"prob":0.0,"fund":1.0,"seg":0.25},{"source":217,"target":220,"weight":0.251,"desc":0.3212,"prob":0.1667,"fund":0.15,"seg":0.3333},{"source":228,"target":241,"weight":0.2509,"desc":0.1961,"prob":0.0,"fund":0.15,"seg":1.0},{"source":88,"target":94,"weight":0.2508,"desc":0.127,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":61,"target":66,"weight":0.2502,"desc":0.2506,"prob":0.0833,"fund":0.5,"seg":0.3333},{"source":78,"target":89,"weight":0.2496,"desc":0.0615,"prob":0.25,"fund":0.0,"seg":1.0},{"source":213,"target":216,"weight":0.2492,"desc":0.1419,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":21,"target":266,"weight":0.2489,"desc":0.0598,"prob":0.0,"fund":1.0,"seg":0.5},{"source":197,"target":200,"weight":0.2487,"desc":0.0591,"prob":0.25,"fund":0.0,"seg":1.0},{"source":273,"target":290,"weight":0.2487,"desc":0.0968,"prob":0.125,"fund":0.15,"seg":1.0},{"source":280,"target":292,"weight":0.2486,"desc":0.1221,"prob":0.0909,"fund":0.15,"seg":1.0},{"source":176,"target":200,"weight":0.2485,"desc":0.0963,"prob":0.125,"fund":0.15,"seg":1.0},{"source":292,"target":302,"weight":0.2485,"desc":0.1338,"prob":0.4,"fund":0.0,"seg":0.5},{"source":8,"target":13,"weight":0.2483,"desc":0.1739,"prob":0.1875,"fund":0.15,"seg":0.6667},{"source":38,"target":75,"weight":0.2478,"desc":0.1944,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":60,"target":176,"weight":0.2478,"desc":0.2446,"prob":0.5,"fund":0.0,"seg":0.0},{"source":222,"target":226,"weight":0.2477,"desc":0.2506,"prob":0.1667,"fund":0.15,"seg":0.5},{"source":72,"target":240,"weight":0.2473,"desc":0.1119,"prob":0.6,"fund":0.15,"seg":0.0},{"source":82,"target":91,"weight":0.2473,"desc":0.1496,"prob":0.5,"fund":0.0,"seg":0.25},{"source":102,"target":110,"weight":0.2473,"desc":0.0933,"prob":0.2,"fund":0.0,"seg":1.0},{"source":152,"target":170,"weight":0.2473,"desc":0.0746,"prob":0.4,"fund":0.15,"seg":0.5},{"source":224,"target":255,"weight":0.2472,"desc":0.093,"prob":0.2,"fund":0.0,"seg":1.0},{"source":20,"target":328,"weight":0.2471,"desc":0.1303,"prob":0.4,"fund":0.0,"seg":0.5},{"source":185,"target":189,"weight":0.2471,"desc":0.0794,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":73,"target":283,"weight":0.247,"desc":0.2424,"prob":0.5,"fund":0.0,"seg":0.0},{"source":91,"target":190,"weight":0.2469,"desc":0.1173,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":203,"target":262,"weight":0.2467,"desc":0.1167,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":48,"target":302,"weight":0.2465,"desc":0.26,"prob":0.4,"fund":0.15,"seg":0.0},{"source":32,"target":186,"weight":0.2463,"desc":0.1158,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":48,"target":270,"weight":0.2459,"desc":0.2398,"prob":0.5,"fund":0.0,"seg":0.0},{"source":238,"target":244,"weight":0.2458,"desc":0.1206,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":16,"target":66,"weight":0.2456,"desc":0.214,"prob":0.3333,"fund":0.15,"seg":0.25},{"source":183,"target":191,"weight":0.2456,"desc":0.0515,"prob":0.25,"fund":0.0,"seg":1.0},{"source":9,"target":284,"weight":0.2454,"desc":0.2385,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":31,"target":186,"weight":0.245,"desc":0.1124,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":180,"target":189,"weight":0.245,"desc":0.0875,"prob":0.2,"fund":0.0,"seg":1.0},{"source":8,"target":306,"weight":0.2447,"desc":0.1295,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":9,"target":13,"weight":0.2442,"desc":0.2106,"prob":0.125,"fund":0.15,"seg":0.6667},{"source":209,"target":218,"weight":0.2442,"desc":0.1792,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":21,"target":23,"weight":0.2441,"desc":0.2791,"prob":0.2,"fund":0.15,"seg":0.3333},{"source":16,"target":68,"weight":0.2438,"desc":0.1845,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":8,"target":128,"weight":0.2437,"desc":0.2342,"prob":0.5,"fund":0.0,"seg":0.0},{"source":224,"target":226,"weight":0.2437,"desc":0.2584,"prob":0.1429,"fund":0.15,"seg":0.5},{"source":80,"target":285,"weight":0.2436,"desc":0.1402,"prob":0.5,"fund":0.0,"seg":0.25},{"source":239,"target":256,"weight":0.2433,"desc":0.1144,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":233,"target":248,"weight":0.2432,"desc":0.1705,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":269,"target":303,"weight":0.2432,"desc":0.233,"prob":0.0,"fund":0.0,"seg":1.0},{"source":76,"target":176,"weight":0.2428,"desc":0.3569,"prob":0.3333,"fund":0.0,"seg":0.0},{"source":226,"target":234,"weight":0.2428,"desc":0.1133,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":242,"target":253,"weight":0.2428,"desc":0.1694,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":21,"target":263,"weight":0.2425,"desc":0.0439,"prob":0.0,"fund":1.0,"seg":0.5},{"source":119,"target":145,"weight":0.2425,"desc":0.1063,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":149,"target":170,"weight":0.2424,"desc":0.1124,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":175,"target":183,"weight":0.2423,"desc":0.0434,"prob":0.25,"fund":0.0,"seg":1.0},{"source":86,"target":204,"weight":0.2422,"desc":0.0431,"prob":0.75,"fund":0.0,"seg":0.0},{"source":183,"target":194,"weight":0.2421,"desc":0.0428,"prob":0.25,"fund":0.0,"seg":1.0},{"source":268,"target":281,"weight":0.2421,"desc":0.141,"prob":0.2857,"fund":0.0,"seg":0.6667},{"source":168,"target":189,"weight":0.242,"desc":0.2299,"prob":0.5,"fund":0.0,"seg":0.0},{"source":27,"target":301,"weight":0.2419,"desc":0.136,"prob":0.5,"fund":0.0,"seg":0.25},{"source":173,"target":272,"weight":0.2419,"desc":0.2298,"prob":0.5,"fund":0.0,"seg":0.0},{"source":223,"target":229,"weight":0.2419,"desc":0.102,"prob":0.4286,"fund":0.15,"seg":0.3333},{"source":284,"target":300,"weight":0.2418,"desc":0.1734,"prob":0.0,"fund":0.15,"seg":1.0},{"source":208,"target":210,"weight":0.2417,"desc":0.1729,"prob":0.0,"fund":0.15,"seg":1.0},{"source":10,"target":16,"weight":0.2416,"desc":0.1906,"prob":0.1429,"fund":0.15,"seg":0.6667},{"source":183,"target":195,"weight":0.2416,"desc":0.0416,"prob":0.25,"fund":0.0,"seg":1.0},{"source":282,"target":293,"weight":0.2416,"desc":0.1164,"prob":0.4,"fund":0.0,"seg":0.5},{"source":80,"target":86,"weight":0.2415,"desc":0.1162,"prob":0.4,"fund":0.0,"seg":0.5},{"source":239,"target":245,"weight":0.2412,"desc":0.0467,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":53,"target":71,"weight":0.2411,"desc":0.2278,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":266,"target":302,"weight":0.2411,"desc":0.1384,"prob":0.2857,"fund":0.0,"seg":0.6667},{"source":5,"target":72,"weight":0.2408,"desc":0.1521,"prob":0.6,"fund":0.0,"seg":0.0},{"source":14,"target":16,"weight":0.2404,"desc":0.1484,"prob":0.4286,"fund":0.15,"seg":0.2},{"source":73,"target":74,"weight":0.2402,"desc":0.1183,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":176,"target":193,"weight":0.2402,"desc":0.0756,"prob":0.125,"fund":0.15,"seg":1.0},{"source":55,"target":72,"weight":0.2399,"desc":0.0996,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":12,"target":135,"weight":0.2397,"desc":0.2992,"prob":0.4,"fund":0.0,"seg":0.0},{"source":190,"target":200,"weight":0.2397,"desc":0.1172,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":76,"target":83,"weight":0.2394,"desc":0.1403,"prob":0.2857,"fund":0.15,"seg":0.5},{"source":175,"target":187,"weight":0.2394,"desc":0.1401,"prob":0.1111,"fund":0.0,"seg":1.0},{"source":185,"target":218,"weight":0.2393,"desc":0.1483,"prob":0.6,"fund":0.0,"seg":0.0},{"source":232,"target":243,"weight":0.2393,"desc":0.167,"prob":0.0,"fund":0.15,"seg":1.0},{"source":21,"target":40,"weight":0.2392,"desc":0.148,"prob":0.4,"fund":0.15,"seg":0.25},{"source":182,"target":193,"weight":0.2392,"desc":0.1294,"prob":0.125,"fund":0.0,"seg":1.0},{"source":189,"target":309,"weight":0.239,"desc":0.0726,"prob":0.2,"fund":0.0,"seg":1.0},{"source":1,"target":74,"weight":0.2387,"desc":0.1145,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":91,"target":202,"weight":0.2385,"desc":0.1276,"prob":0.5,"fund":0.0,"seg":0.25},{"source":204,"target":215,"weight":0.2385,"desc":0.1649,"prob":0.0,"fund":0.15,"seg":1.0},{"source":119,"target":153,"weight":0.2384,"desc":0.0709,"prob":0.2,"fund":0.0,"seg":1.0},{"source":245,"target":253,"weight":0.2384,"desc":0.0398,"prob":0.1667,"fund":0.15,"seg":1.0},{"source":254,"target":258,"weight":0.2384,"desc":0.1647,"prob":0.5,"fund":0.15,"seg":0.0},{"source":259,"target":278,"weight":0.2384,"desc":0.2023,"prob":0.2,"fund":0.15,"seg":0.5},{"source":293,"target":305,"weight":0.2384,"desc":0.2209,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":38,"target":116,"weight":0.2382,"desc":0.0956,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":259,"target":283,"weight":0.2382,"desc":0.2206,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":264,"target":266,"weight":0.238,"desc":0.1307,"prob":0.2857,"fund":0.0,"seg":0.6667},{"source":85,"target":266,"weight":0.2378,"desc":0.1445,"prob":0.5,"fund":0.0,"seg":0.2},{"source":96,"target":285,"weight":0.2373,"desc":0.0683,"prob":0.2,"fund":0.0,"seg":1.0},{"source":201,"target":215,"weight":0.2373,"desc":0.162,"prob":0.0,"fund":0.15,"seg":1.0},{"source":232,"target":256,"weight":0.2373,"desc":0.162,"prob":0.0,"fund":0.15,"seg":1.0},{"source":183,"target":190,"weight":0.2371,"desc":0.1107,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":278,"target":282,"weight":0.2371,"desc":0.124,"prob":0.0,"fund":0.25,"seg":1.0},{"source":53,"target":225,"weight":0.237,"desc":0.0862,"prob":0.6,"fund":0.15,"seg":0.0},{"source":1,"target":283,"weight":0.2369,"desc":0.2173,"prob":0.5,"fund":0.0,"seg":0.0},{"source":128,"target":248,"weight":0.2365,"desc":0.2162,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":26,"target":284,"weight":0.2364,"desc":0.2517,"prob":0.2857,"fund":0.0,"seg":0.3333},{"source":83,"target":120,"weight":0.2361,"desc":0.3402,"prob":0.3333,"fund":0.0,"seg":0.0},{"source":189,"target":315,"weight":0.2361,"desc":0.0519,"prob":0.1429,"fund":0.15,"seg":1.0},{"source":205,"target":211,"weight":0.236,"desc":0.1587,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":4,"target":216,"weight":0.2359,"desc":0.1398,"prob":0.6,"fund":0.0,"seg":0.0},{"source":83,"target":89,"weight":0.2354,"desc":0.1572,"prob":0.25,"fund":0.15,"seg":0.5},{"source":96,"target":288,"weight":0.2354,"desc":0.1948,"prob":0.4,"fund":0.0,"seg":0.25},{"source":226,"target":251,"weight":0.2354,"desc":0.0948,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":14,"target":25,"weight":0.2352,"desc":0.1193,"prob":0.375,"fund":0.5,"seg":0.0},{"source":10,"target":53,"weight":0.2349,"desc":0.156,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":243,"target":256,"weight":0.2349,"desc":0.156,"prob":0.0,"fund":0.15,"seg":1.0},{"source":66,"target":70,"weight":0.2348,"desc":0.1495,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":234,"target":242,"weight":0.2347,"desc":0.1849,"prob":0.2857,"fund":0.0,"seg":0.5},{"source":187,"target":310,"weight":0.2346,"desc":0.0866,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":187,"target":309,"weight":0.2343,"desc":0.0857,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":80,"target":203,"weight":0.2342,"desc":0.0854,"prob":0.5,"fund":0.0,"seg":0.3333},{"source":16,"target":69,"weight":0.2341,"desc":0.2414,"prob":0.3333,"fund":0.0,"seg":0.25},{"source":20,"target":23,"weight":0.2339,"desc":0.1472,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":57,"target":61,"weight":0.2339,"desc":0.2098,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":225,"target":248,"weight":0.2334,"desc":0.0898,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":119,"target":172,"weight":0.2332,"desc":0.058,"prob":0.2,"fund":0.0,"seg":1.0},{"source":251,"target":252,"weight":0.2331,"desc":0.1515,"prob":0.0,"fund":0.15,"seg":1.0},{"source":89,"target":235,"weight":0.2326,"desc":0.3673,"prob":0.2857,"fund":0.0,"seg":0.0},{"source":187,"target":191,"weight":0.2326,"desc":0.1231,"prob":0.1111,"fund":0.0,"seg":1.0},{"source":16,"target":71,"weight":0.2325,"desc":0.1679,"prob":0.1429,"fund":0.15,"seg":0.6667},{"source":141,"target":177,"weight":0.2325,"desc":0.1313,"prob":0.6,"fund":0.0,"seg":0.0},{"source":83,"target":93,"weight":0.2322,"desc":0.1429,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":202,"target":210,"weight":0.2321,"desc":0.249,"prob":0.2,"fund":0.15,"seg":0.3333},{"source":232,"target":241,"weight":0.232,"desc":0.1487,"prob":0.25,"fund":0.15,"seg":0.5},{"source":207,"target":209,"weight":0.2318,"desc":0.0983,"prob":0.4,"fund":0.15,"seg":0.3333},{"source":187,"target":197,"weight":0.2315,"desc":0.2037,"prob":0.0,"fund":0.0,"seg":1.0},{"source":224,"target":242,"weight":0.2314,"desc":0.1766,"prob":0.2857,"fund":0.0,"seg":0.5},{"source":48,"target":274,"weight":0.2313,"desc":0.2096,"prob":0.3333,"fund":0.15,"seg":0.1667},{"source":17,"target":48,"weight":0.2312,"desc":0.2781,"prob":0.4,"fund":0.0,"seg":0.0},{"source":142,"target":287,"weight":0.2312,"desc":0.2218,"prob":0.4,"fund":0.15,"seg":0.0},{"source":283,"target":305,"weight":0.2312,"desc":0.203,"prob":0.0,"fund":0.0,"seg":1.0},{"source":110,"target":117,"weight":0.2311,"desc":0.1839,"prob":0.2,"fund":0.15,"seg":0.5},{"source":205,"target":207,"weight":0.2308,"desc":0.1457,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":119,"target":139,"weight":0.2306,"desc":0.0765,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":165,"target":177,"weight":0.2306,"desc":0.1266,"prob":0.6,"fund":0.0,"seg":0.0},{"source":296,"target":301,"weight":0.2303,"desc":0.2382,"prob":0.2,"fund":0.0,"seg":0.5},{"source":7,"target":74,"weight":0.2302,"desc":0.0934,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":8,"target":186,"weight":0.2301,"desc":0.1502,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":15,"target":230,"weight":0.23,"desc":0.0813,"prob":0.3333,"fund":0.15,"seg":0.5},{"source":232,"target":247,"weight":0.2295,"desc":0.1426,"prob":0.0,"fund":0.15,"seg":1.0},{"source":268,"target":304,"weight":0.2294,"desc":0.136,"prob":0.25,"fund":0.0,"seg":0.6667},{"source":72,"target":264,"weight":0.2293,"desc":0.1233,"prob":0.6,"fund":0.0,"seg":0.0},{"source":86,"target":94,"weight":0.2293,"desc":0.1357,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":12,"target":216,"weight":0.2288,"desc":0.1969,"prob":0.5,"fund":0.0,"seg":0.0},{"source":203,"target":297,"weight":0.2286,"desc":0.0715,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":96,"target":126,"weight":0.2284,"desc":0.1959,"prob":0.5,"fund":0.0,"seg":0.0},{"source":11,"target":12,"weight":0.2282,"desc":0.1392,"prob":0.0,"fund":0.15,"seg":1.0},{"source":67,"target":177,"weight":0.2279,"desc":0.1323,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":271,"target":283,"weight":0.2279,"desc":0.1947,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":84,"target":96,"weight":0.2276,"desc":0.1689,"prob":0.2,"fund":0.0,"seg":0.6667},{"source":236,"target":249,"weight":0.2276,"desc":0.1315,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":26,"target":260,"weight":0.2275,"desc":0.2296,"prob":0.2857,"fund":0.0,"seg":0.3333},{"source":236,"target":301,"weight":0.2273,"desc":0.0684,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":182,"target":272,"weight":0.2269,"desc":0.1922,"prob":0.5,"fund":0.0,"seg":0.0},{"source":250,"target":256,"weight":0.2268,"desc":0.1734,"prob":0.2,"fund":0.15,"seg":0.5},{"source":219,"target":317,"weight":0.2262,"desc":0.0654,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":225,"target":272,"weight":0.2259,"desc":0.1899,"prob":0.5,"fund":0.0,"seg":0.0},{"source":223,"target":256,"weight":0.2258,"desc":0.1332,"prob":0.25,"fund":0.15,"seg":0.5},{"source":5,"target":14,"weight":0.2257,"desc":0.1269,"prob":0.25,"fund":0.0,"seg":0.6667},{"source":214,"target":282,"weight":0.2256,"desc":0.189,"prob":0.5,"fund":0.0,"seg":0.0},{"source":9,"target":110,"weight":0.2254,"desc":0.1324,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":61,"target":275,"weight":0.2252,"desc":0.3129,"prob":0.1667,"fund":0.3333,"seg":0.0},{"source":193,"target":327,"weight":0.2248,"desc":0.037,"prob":0.125,"fund":0.15,"seg":1.0},{"source":214,"target":298,"weight":0.2248,"desc":0.1869,"prob":0.5,"fund":0.0,"seg":0.0},{"source":214,"target":303,"weight":0.2247,"desc":0.1868,"prob":0.5,"fund":0.0,"seg":0.0},{"source":26,"target":304,"weight":0.2246,"desc":0.249,"prob":0.25,"fund":0.0,"seg":0.3333},{"source":66,"target":155,"weight":0.2245,"desc":0.1861,"prob":0.5,"fund":0.0,"seg":0.0},{"source":268,"target":292,"weight":0.2243,"desc":0.1856,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":135,"target":177,"weight":0.2241,"desc":0.1104,"prob":0.6,"fund":0.0,"seg":0.0},{"source":25,"target":236,"weight":0.2238,"desc":0.2594,"prob":0.4,"fund":0.0,"seg":0.0},{"source":54,"target":177,"weight":0.2237,"desc":0.1217,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":205,"target":221,"weight":0.2235,"desc":0.19,"prob":0.25,"fund":0.15,"seg":0.3333},{"source":14,"target":26,"weight":0.2234,"desc":0.1836,"prob":0.375,"fund":0.0,"seg":0.25},{"source":17,"target":306,"weight":0.2231,"desc":0.0577,"prob":0.1667,"fund":0.0,"seg":1.0},{"source":157,"target":248,"weight":0.2229,"desc":0.1823,"prob":0.5,"fund":0.0,"seg":0.0},{"source":73,"target":294,"weight":0.2227,"desc":0.2505,"prob":0.3333,"fund":0.15,"seg":0.0},{"source":161,"target":248,"weight":0.2224,"desc":0.106,"prob":0.6,"fund":0.0,"seg":0.0},{"source":76,"target":78,"weight":0.2222,"desc":0.0867,"prob":0.125,"fund":0.0,"seg":1.0},{"source":151,"target":248,"weight":0.2222,"desc":0.1306,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":7,"target":294,"weight":0.222,"desc":0.2488,"prob":0.3333,"fund":0.15,"seg":0.0},{"source":76,"target":93,"weight":0.222,"desc":0.13,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":226,"target":255,"weight":0.222,"desc":0.1176,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":68,"target":207,"weight":0.2217,"desc":0.1231,"prob":0.5,"fund":0.15,"seg":0.0},{"source":287,"target":290,"weight":0.2217,"desc":0.1543,"prob":0.125,"fund":0.15,"seg":0.6667},{"source":295,"target":296,"weight":0.2217,"desc":0.1167,"prob":0.25,"fund":0.0,"seg":0.6667},{"source":89,"target":176,"weight":0.2205,"desc":0.3369,"prob":0.2857,"fund":0.0,"seg":0.0},{"source":51,"target":61,"weight":0.2201,"desc":0.1127,"prob":0.1667,"fund":0.5,"seg":0.3333},{"source":193,"target":194,"weight":0.2201,"desc":0.0918,"prob":0.1111,"fund":0.0,"seg":1.0},{"source":61,"target":222,"weight":0.22,"desc":0.325,"prob":0.3,"fund":0.0,"seg":0.0},{"source":145,"target":328,"weight":0.22,"desc":0.0499,"prob":0.6667,"fund":0.0,"seg":0.0},{"source":268,"target":273,"weight":0.22,"desc":0.15,"prob":0.125,"fund":0.15,"seg":0.6667},{"source":279,"target":293,"weight":0.2195,"desc":0.1175,"prob":0.25,"fund":0.15,"seg":0.5},{"source":13,"target":230,"weight":0.2194,"desc":0.1642,"prob":0.1875,"fund":0.15,"seg":0.5},{"source":221,"target":313,"weight":0.2192,"desc":0.0979,"prob":0.6,"fund":0.0,"seg":0.0},{"source":190,"target":193,"weight":0.2184,"desc":0.064,"prob":0.1429,"fund":0.0,"seg":1.0},{"source":130,"target":151,"weight":0.2181,"desc":0.1141,"prob":0.0,"fund":0.15,"seg":1.0},{"source":232,"target":244,"weight":0.218,"desc":0.1138,"prob":0.0,"fund":0.15,"seg":1.0},{"source":11,"target":19,"weight":0.2175,"desc":0.1124,"prob":0.0,"fund":0.15,"seg":1.0},{"source":20,"target":22,"weight":0.2175,"desc":0.1064,"prob":0.3333,"fund":0.0,"seg":0.5},{"source":88,"target":324,"weight":0.2167,"desc":0.0917,"prob":0.6,"fund":0.0,"seg":0.0},{"source":9,"target":14,"weight":0.2164,"desc":0.1514,"prob":0.1111,"fund":0.15,"seg":0.6667},{"source":130,"target":155,"weight":0.2162,"desc":0.1467,"prob":0.2,"fund":0.15,"seg":0.5},{"source":216,"target":217,"weight":0.2162,"desc":0.1093,"prob":0.3333,"fund":0.15,"seg":0.3333},{"source":1,"target":281,"weight":0.2149,"desc":0.1811,"prob":0.4,"fund":0.15,"seg":0.0},{"source":229,"target":242,"weight":0.2147,"desc":0.1929,"prob":0.3333,"fund":0.0,"seg":0.25},{"source":202,"target":221,"weight":0.2146,"desc":0.141,"prob":0.2857,"fund":0.15,"seg":0.3333},{"source":278,"target":279,"weight":0.2146,"desc":0.1052,"prob":0.0,"fund":0.15,"seg":1.0},{"source":202,"target":206,"weight":0.2143,"desc":0.1606,"prob":0.0,"fund":0.0,"seg":1.0},{"source":205,"target":214,"weight":0.2143,"desc":0.0669,"prob":0.125,"fund":0.0,"seg":1.0},{"source":123,"target":124,"weight":0.2141,"desc":0.1415,"prob":0.2,"fund":0.15,"seg":0.5},{"source":300,"target":302,"weight":0.2141,"desc":0.104,"prob":0.0,"fund":0.15,"seg":1.0},{"source":130,"target":164,"weight":0.213,"desc":0.1388,"prob":0.2,"fund":0.15,"seg":0.5},{"source":26,"target":108,"weight":0.2125,"desc":0.1564,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":78,"target":88,"weight":0.2119,"desc":0.0715,"prob":0.1111,"fund":0.0,"seg":1.0},{"source":11,"target":188,"weight":0.2118,"desc":0.2294,"prob":0.4,"fund":0.0,"seg":0.0},{"source":56,"target":296,"weight":0.2116,"desc":0.1539,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":11,"target":312,"weight":0.2113,"desc":0.1532,"prob":0.5,"fund":0.0,"seg":0.0},{"source":130,"target":267,"weight":0.2112,"desc":0.078,"prob":0.6,"fund":0.0,"seg":0.0},{"source":275,"target":300,"weight":0.2111,"desc":0.0966,"prob":0.0,"fund":0.15,"seg":1.0},{"source":219,"target":221,"weight":0.2109,"desc":0.2389,"prob":0.1429,"fund":0.15,"seg":0.3333},{"source":73,"target":84,"weight":0.2104,"desc":0.1511,"prob":0.0,"fund":0.0,"seg":1.0},{"source":130,"target":261,"weight":0.2101,"desc":0.0752,"prob":0.6,"fund":0.0,"seg":0.0},{"source":259,"target":287,"weight":0.2101,"desc":0.1682,"prob":0.1429,"fund":0.0,"seg":0.6667},{"source":13,"target":26,"weight":0.21,"desc":0.1868,"prob":0.1176,"fund":0.0,"seg":0.6667},{"source":242,"target":255,"weight":0.21,"desc":0.1499,"prob":0.25,"fund":0.0,"seg":0.5},{"source":74,"target":91,"weight":0.2099,"desc":0.0749,"prob":0.4,"fund":0.15,"seg":0.25},{"source":214,"target":293,"weight":0.2095,"desc":0.1487,"prob":0.5,"fund":0.0,"seg":0.0},{"source":11,"target":60,"weight":0.2093,"desc":0.2108,"prob":0.1667,"fund":0.0,"seg":0.5},{"source":72,"target":216,"weight":0.2089,"desc":0.1474,"prob":0.5,"fund":0.0,"seg":0.0},{"source":88,"target":308,"weight":0.2089,"desc":0.0723,"prob":0.6,"fund":0.0,"seg":0.0},{"source":261,"target":280,"weight":0.2088,"desc":0.1096,"prob":0.3,"fund":0.0,"seg":0.5},{"source":88,"target":92,"weight":0.2073,"desc":0.2538,"prob":0.1111,"fund":0.15,"seg":0.3333},{"source":7,"target":281,"weight":0.2071,"desc":0.1614,"prob":0.4,"fund":0.15,"seg":0.0},{"source":26,"target":303,"weight":0.2071,"desc":0.1427,"prob":0.25,"fund":0.0,"seg":0.5},{"source":206,"target":243,"weight":0.2066,"desc":0.2101,"prob":0.3333,"fund":0.15,"seg":0.0},{"source":25,"target":230,"weight":0.2055,"desc":0.145,"prob":0.25,"fund":0.15,"seg":0.3333},{"source":279,"target":305,"weight":0.2053,"desc":0.1383,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":264,"target":300,"weight":0.2039,"desc":0.1347,"prob":0.0,"fund":0.0,"seg":1.0},{"source":261,"target":305,"weight":0.2037,"desc":0.1093,"prob":0.125,"fund":0.15,"seg":0.6667},{"source":260,"target":279,"weight":0.2036,"desc":0.1402,"prob":0.1667,"fund":0.15,"seg":0.5},{"source":28,"target":48,"weight":0.2035,"desc":0.1711,"prob":0.2,"fund":0.0,"seg":0.5},{"source":300,"target":303,"weight":0.2035,"desc":0.1711,"prob":0.2,"fund":0.0,"seg":0.5},{"source":123,"target":131,"weight":0.2028,"desc":0.156,"prob":0.1429,"fund":0.15,"seg":0.5},{"source":223,"target":232,"weight":0.2027,"desc":0.1557,"prob":0.1429,"fund":0.15,"seg":0.5},{"source":206,"target":251,"weight":0.2026,"desc":0.0752,"prob":0.5,"fund":0.15,"seg":0.0},{"source":61,"target":78,"weight":0.2021,"desc":0.1132,"prob":0.2727,"fund":0.5,"seg":0.0},{"source":61,"target":280,"weight":0.2019,"desc":0.2162,"prob":0.3846,"fund":0.0,"seg":0.0},{"source":1,"target":294,"weight":0.2012,"desc":0.1968,"prob":0.3333,"fund":0.15,"seg":0.0},{"source":206,"target":242,"weight":0.2005,"desc":0.1261,"prob":0.5,"fund":0.0,"seg":0.0},{"source":264,"target":296,"weight":0.2,"desc":0.125,"prob":0.1667,"fund":0.0,"seg":0.6667},{"source":130,"target":146,"weight":0.1998,"desc":0.1487,"prob":0.1429,"fund":0.15,"seg":0.5},{"source":206,"target":255,"weight":0.1996,"desc":0.1239,"prob":0.5,"fund":0.0,"seg":0.0},{"source":67,"target":72,"weight":0.1984,"desc":0.121,"prob":0.0,"fund":0.0,"seg":1.0},{"source":306,"target":318,"weight":0.1982,"desc":0.0643,"prob":0.5,"fund":0.15,"seg":0.0},{"source":130,"target":160,"weight":0.1978,"desc":0.1007,"prob":0.2,"fund":0.15,"seg":0.5},{"source":96,"target":306,"weight":0.1974,"desc":0.0934,"prob":0.2,"fund":0.0,"seg":0.6667},{"source":124,"target":130,"weight":0.1971,"desc":0.1241,"prob":0.1667,"fund":0.15,"seg":0.5},{"source":261,"target":306,"weight":0.1967,"desc":0.0667,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":53,"target":306,"weight":0.1956,"desc":0.064,"prob":0.4,"fund":0.0,"seg":0.3333},{"source":123,"target":162,"weight":0.1955,"desc":0.0576,"prob":0.0,"fund":0.15,"seg":1.0},{"source":201,"target":207,"weight":0.1953,"desc":0.1821,"prob":0.1667,"fund":0.15,"seg":0.3333},{"source":272,"target":296,"weight":0.1947,"desc":0.1546,"prob":0.1429,"fund":0.0,"seg":0.6},{"source":11,"target":232,"weight":0.1945,"desc":0.18,"prob":0.3333,"fund":0.15,"seg":0.0},{"source":91,"target":92,"weight":0.1927,"desc":0.088,"prob":0.4,"fund":0.0,"seg":0.25},{"source":123,"target":132,"weight":0.1921,"desc":0.0864,"prob":0.2,"fund":0.15,"seg":0.5},{"source":283,"target":296,"weight":0.1914,"desc":0.141,"prob":0.2,"fund":0.0,"seg":0.5},{"source":207,"target":217,"weight":0.1907,"desc":0.0454,"prob":0.0,"fund":0.15,"seg":1.0},{"source":27,"target":328,"weight":0.1902,"desc":0.0441,"prob":0.25,"fund":0.15,"seg":0.5},{"source":123,"target":133,"weight":0.1899,"desc":0.1061,"prob":0.1667,"fund":0.15,"seg":0.5},{"source":222,"target":232,"weight":0.1897,"desc":0.0806,"prob":0.2,"fund":0.15,"seg":0.5},{"source":40,"target":328,"weight":0.1893,"desc":0.0795,"prob":0.2,"fund":0.15,"seg":0.5},{"source":276,"target":306,"weight":0.1882,"desc":0.2205,"prob":0.1667,"fund":0.0,"seg":0.3333},{"source":283,"target":300,"weight":0.1878,"desc":0.1633,"prob":0.0,"fund":0.15,"seg":0.6667},{"source":261,"target":267,"weight":0.1865,"desc":0.0912,"prob":0.3333,"fund":0.0,"seg":0.3333},{"source":52,"target":123,"weight":0.1847,"desc":0.1617,"prob":0.4,"fund":0.0,"seg":0.0},{"source":245,"target":296,"weight":0.184,"desc":0.085,"prob":0.5,"fund":0.0,"seg":0.0},{"source":15,"target":261,"weight":0.1816,"desc":0.0602,"prob":0.4,"fund":0.0,"seg":0.25},{"source":123,"target":280,"weight":0.1799,"desc":0.1123,"prob":0.2,"fund":0.0,"seg":0.5},{"source":248,"target":328,"weight":0.1792,"desc":0.0542,"prob":0.2,"fund":0.15,"seg":0.5},{"source":261,"target":300,"weight":0.1744,"desc":0.0611,"prob":0.0,"fund":0.0,"seg":1.0},{"source":274,"target":296,"weight":0.1714,"desc":0.0963,"prob":0.1429,"fund":0.0,"seg":0.6},{"source":123,"target":290,"weight":0.1689,"desc":0.134,"prob":0.1429,"fund":0.15,"seg":0.3333}],"stats":{"org_count":329,"edge_count":1763,"max_weight":0.8153,"median_weight":0.1034,"last_updated":"2026-07-25"}}