While millions of workers have gained access to PFML, the lack of uniformity in mandatory PFML programs created a growing patchwork of state laws, differing on nearly 30 policy components across four key areas: substantive benefits, financing, eligibility, and administrative requirements.
The Policy2Code Prototyping Challenge explored utilizing generative AI technology to translate U.S. government policies for public benefits into plain language and code, culminating in a Demo Day where twelve teams showcased their projects for feedback and evaluation.
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.
This report contributes to the quantitative measurement of psychological burdens by examining a case study of a single social program: the Supplemental Nutrition Assistance Program, by considering new quantitative measures of the psychological burdens faced by SNAP applicants.
To improve the .gov registrar, 18F and CISA created customer panels to gather feedback, opinions, and suggestions. Using a customer-centric approached enabled 18F and CISA to identify areas for improvement, build a product roadmap, and establish relationships with users.
The user recruitment services resolution passed in Saint Paul, MN for a third year in a row in 2024. It allows for city funds to be used to compensate community members who participate in research.
In this updated primer, the DBN describes how identity proofing and authentication show up in public benefits applications and outlines equity and security concerns raised by common identity proofing and authentication methods.
