This report examines how governments use AI systems to allocate public resources and provides recommendations to ensure these tools promote equity, transparency, and fairness.
This issue brief examines how H.R. 1’s enactment delays implementation of two key Medicaid eligibility rules—one for Medicare Savings Programs (MSPs) and one for general Medicaid/CHIP enrollment and renewal—and the effects of that delay.
This report poses the question of whether states are prepared to meet the new Medicaid work reporting and renewal mandates introduced by HR 1, given ongoing strain from the post-pandemic “unwinding.”
This blog analyzes how the One Big Beautiful Bill Act (OBBBA) will dramatically shift SNAP costs onto state governments, projecting massive budget increases and fiscal strain.
This report warns that federal data collection is being undermined by budget cuts, political interference, and leadership changes that threaten the reliability of core economic and social statistics.
This is a government catalog of reusable digital service components, templates, and patterns designed to help public sector teams build services more efficiently and consistently.
This research paper explores how government design systems function as the “translation layer” of digital public infrastructure, transforming technical systems into accessible, trustworthy citizen experiences.
This brief examines how direct cash transfers (DCTs) can improve maternal and infant health outcomes, particularly among low-income and racially marginalized populations, by reducing poverty during pregnancy and early parenthood
This page reports on key metrics assessing how well federal websites are performing against standards for accessibility, mobile usability, search, feedback, design consistency, analytics, and security.
A report summarizing effective state practices, promising initiatives, and federal resources to improve payment accuracy in the Supplemental Nutrition Assistance Program (SNAP).
This report analyzes how administrative burdens in SNAP caused one in eight working-age adults to lose benefits in 2024, with future federal policy changes expected to worsen disruptions
A report that defines what effective “human oversight” of AI looks like in public benefits delivery and offers practical guidance for ensuring accountability, equity, and trust in algorithmic systems.
