This resource provides examples and practical guides that explain how to use existing regulations and data sharing agreements to transfer client information or eligibility status between benefit programs.
Code for America describes its work building the P-EBT online application and the consulting it provided to 10 states regarding implementing the program in a quick, effective, and human-centered way. Despite herculean efforts among human services and education agencies to get P-EBT off the ground, there were a few key technological, operational, and logistical barriers that consistently got in the way and hampered a smooth rollout of the program across the country.
Code for America helped expand GetCalFresh (a service that guides Californians through the SNAP application process and helps government deliver food assistance to people in need) from a small pilot into a statewide service. They also recently concluded a similar pilot in Michigan along with Civilla and the Michigan Department of Health and Human Services.
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.
The team explored using LLMs to interpret the Program Operations Manual System (POMS) into plain language logic models and flowcharts as educational resources for SSI and SSDI eligibility, benchmarking LLMs in RAG methods for reliability in answering queries and providing useful instructions to users.
This paper introduces a method for auditing benefits eligibility screening tools in four steps: 1) generate test households, 2) automatically populate screening questions with household information and retrieve determinations, 3) translate eligibility guidelines into computer code to generate ground truth determinations, and 4) identify conflicting determinations to detect errors.
The report highlights that many eligible low-income children are not receiving WIC benefits during the COVID-19 pandemic, with participation rates varying significantly by state and lagging behind programs like Medicaid and SNAP.
This report examines Georgia’s Medicaid demonstration testing work requirements—the only such active program in the nation—and provides detailed findings on administrative costs, implementation challenges, and federal oversight weaknesses.
During this event, researchers addressed questions with findings from data collected from state UI agencies across the country and focus groups with women who have experienced unemployment.
The team introduced an AI assistant for benefits navigators to streamline the process and improve outcomes by quickly assessing client eligibility for benefits programs.
