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 article outlines NYC Opportunity's "Designed by Community" program, which funds and empowers local leaders to create solutions for challenges in marginalized communities. Initially focused on government projects, the program pivoted during the pandemic to support community-led initiatives, with projects ranging from mentorship programs to tech tools for public housing residents.
In February 2023, the Digital Benefits Network at the Beeck Center for Social Impact + Innovation released a dataset documenting authentication and identity verification requirements that unemployment insurance (UI) applicants encounter across the United States. This resource outlines high-level observations from the data and more information about the research process.
The team developed an AI solution to assist benefit navigators with in-the-moment program information, finding that while LLMs are useful for summarizing and interpreting text, they are not ideal for implementing strict formulas like benefit calculations, but can accelerate the eligibility process by leveraging their strengths in general tasks.
This resource appendix is a compilation of useful resources intended as a follow-on to the DSN’s writing on theories of change for digital transformation in government. Practitioners can use these resources to DIY their ToC after reading our essays.
During the call, we heard from two speakers: April Dunlap, Policy Administrator for Arizona’s Department of Economic Security and Professor Michele Gilman, Venable Professor of Law and Associate Dean for Faculty Research and Development at the University of Baltimore School of Law.
This case study explores how the City of Akron developed a community tree map to engage residents in urban forestry efforts, enabling them to identify, grow, and care for trees in their neighborhoods.
This publication describes the research process and protocol used in the Digital Benefits Networks research project, "Digital Account Creation and Identity Proofing in Public Benefits Applications."
MITRE developed the Comprehensive Careers and Supports for Households (CCASH™) tool to help individuals understand and manage federal benefits and employment services, transitioning from a consumer-focused tool to a policy analytics system. By integrating data from sources like the U.S. Census and the Policy Rules Database, MITRE created a model that allows users to analyze and compare benefits eligibility across states, supporting evidence-based policymaking.
