The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
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.
The exclusion of agricultural and domestic workers—predominantly African Americans—from the 1935 Social Security Act's unemployment insurance program is analyzed as a result of international policy diffusion rather than solely domestic racial politics.
Demand for public benefits is rising in response to continued economic pressure on vulnerable people, in addition to changes in eligibility rules for some safety net programs. This report summarizes existing benefits access efforts, studies the successes and challenges of benefits expansion efforts through a subset of in-depth case studies, and analyzes the potential for sustaining, expanding, and replicating successful efforts.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
Nava PBC developed a prototype API and digital screener in Montana to streamline eligibility and enhance program access, illustrating how API standards could improve interoperability and modernize WIC systems nationwide.
An in-depth report that examines how states use automated eligibility algorithms for home and community-based services (HCBS) under Medicaid and assesses their implications for access and fairness.
The Summer EBT Playbook offers states practical strategies, tools, and examples to effectively implement the new Summer EBT program, ensuring low-income children receive food benefits when school is out.
This update highlights progress in improving federal customer experience (CX) following Executive Order 14058, showcasing service enhancements across agencies.
Benefits Data Trust (BDT) is a nonprofit that connects people to public benefits through a streamlined, phone-based application system called Benefits Launch, which reduces redundant questions and speeds up the process for multiple programs. BDT's approach, supported by a custom-built rules engine, has facilitated over 800,000 benefit enrollments, helping secure over $9 billion for eligible households across seven states.
