This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
This memorandum provides guidance to help agencies advance digital accessibility by maintaining an accessible Federal technology environment, promoting accessible digital experiences, and continuing the implementation of accessibility standards.
This report provides an early 2025 snapshot of state Medicaid and CHIP policies as they return to normal operations post‑pandemic, focusing on eligibility, enrollment, and renewal processes.
This panel discussion from the Academy's 2025 Policy Summit explores the intersection of artificial intelligence (AI) and public benefits, examining how technological advancements are influencing policy decisions and the delivery of social services.
An event recap from one of FormFest 2024's breakout sessions featuring speakers from the state of Maryland's Department of Social Services and the U.S. Department of Health and Human Services (HHS).
18F, a consultancy within the U.S. General Services Administration, developed a prototype API and pre-screener to model federal SNAP eligibility rules, aiming to simplify benefits access through open-source technology.
This section of the Building Resilience plan outlines comprehensive strategies to help states prevent, detect, and recover unemployment insurance (UI) fraud while protecting legitimate claimants.
This section of the Building Resilience plan outlines strategies to expand access to unemployment insurance (UI) for underserved populations and improve benefit adequacy through system reform, outreach, and data-driven equity efforts.
The article presents the True Cost of Economic Security (TCES) measure, showing that over half of U.S. families struggle to meet the comprehensive costs required to thrive, highlighting significant disparities based on family type, location, and race.
