Ecosystem Directory
Use the Ecosystem Directory to find organizations to collaborate with, to explore what types of work organizations are doing to increase access to digital benefits, and to better understand the ecosystem as a whole.
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How to use the Directory
You can search the directory or browse and filter by organization type, categories of work, and benefit programs.
Results
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FAS partners with government to apply science, technology, and design to solve complex public challenges, including modernizing public benefit systems.
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U.S. federal agency managing Social Security programs.
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Federal agency protecting health and providing human services.
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Foundation supporting social science research on social and economic issues.
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Center for Information Technology Policy
Princeton University
Princeton University’s Center for Information Technology Policy (CITP) is a nexus of expertise in technology, engineering, public policy, and the social sciences.
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Stanford Basic Income Lab (BIL)
Stanford University
Equips the field with insights on the growth and evolution of basic income experiments, harvesting learning from policymakers and practitioners.
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Cybersecurity and Infrastructure Security Agency (CISA)
U.S. Department of Homeland Security (DHS)
Protects critical infrastructure from physical and cyber threats through coordination with public and private sector partners.
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The National Center for Children in Poverty (NCCP) is a nonpartisan policy research center dedicated to improving the lives of low-income children and families through research and advocacy on family economic security, early childhood development, and related social policies.
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National campaign to end childhood hunger by connecting children to nutritious food.
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Federal agency responsible for population and economic data collection.
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The People Lab
Harvard University
Aims to improve the performance of government agencies through rigorous research and innovation.
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RegLab
Stanford University
Collaborates with government agencies to modernize regulatory practices using data science and machine learning.
