A study shows that Benefits Data Trust’s outreach and application assistance significantly increased SNAP enrollment among North Carolina seniors, improving health outcomes and reducing Medicaid costs.
The Technology Transformation Service at GSA recently created a new Public Benefits Studio to focus on fostering a more cohesive, coordinated experience for the public, across programs.
This Urban Institute report explores the impact of benefit cliffs, plateaus, and trade-offs on families receiving public assistance, examining how changes in earnings affect access to essential benefits like SNAP, Medicaid, and housing subsidies.
This brief shares findings from a November 2021 survey of state SNAP agencies about their use of the SNAP ARPA funds in fiscal year 2021, and their initial planned activities for fiscal year 2022 and 2023.
American Public Human Services Association (APHSA)
Alluma is a nonprofit that provides digital solutions to simplify eligibility screening and enrollment for social benefit programs, supporting cross-benefit access in 45 counties and two states. Their One-x-Connection product suite streamlines Medicaid and SNAP applications using a business rules engine, with a focus on human-centered design and anonymous, simplified eligibility checks, having helped screen over 10 million individuals and submitted over 67 million applications.
PolicyEngine is a nonprofit that provides a free, open-source web app enabling users in the US and UK to estimate taxes and benefits at the household level, while also simulating the effects of policy changes. By combining tax and benefits data, PolicyEngine helps individuals and policymakers better understand the impacts of existing policies and proposed reforms, using microsimulation models built from legislation and enhanced survey data.
This report examines the extent to which proposed options included in the Student Food Security Act, Let Students Eat proposal, and the EATS Act impact specific demographics of students, either by increasing access or by streamlining the process for qualifying students to demonstrate eligibility.
The team explored the performance of various AI chatbots and LLMs in supporting the adoption of Rules as Code for SNAP and Medicaid policies using policy data from Georgia and Oklahoma.
