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 section of the Department of Labor’s Building Resilience plan focuses on improving customer experience across unemployment insurance (UI) systems by promoting timely, accessible, and equitable service delivery for all claimants.
These fact sheets provide detailed, state-specific data illustrating SNAP's role in reducing hunger and bolstering local economies across the United States
This blog introduces the GSA’s Public Benefits Studio, which partnered with agencies to build shared tools—starting with a multi-channel notifications service—to improve coordination and access across federal public benefits programs.
This case study documents how Civilla partnered with the Michigan Department of Health and Human Services (MDHHS) to redesign and modernize online enrollment for the state’s largest benefit programs.
This research paper examines how stigma shapes participation in U.S. social safety net programs and influences public support for benefit design and access.
The GetCalFresh team, the California Department of Social Services, and the California Secretary of State’s office worked together to create a simplified, accessible voter registration experience with clients. When people come to GetCalFresh.org, they are looking to apply for food assistance, so the state of California did not want voter registration to become an obstacle to the goal of getting food assistance. Thus, rather than directing clients to anther website, they offered to text clients a link to the CA Secretary of State’s voter website with directions on how to register.
This article discusses the various benefits of publicly-funded open-source software. These benefits include fairness and transparency, economic stimulus, and support of the Federal Source Code Policy Agenda.
This academic paper examines how federal privacy laws restrict data collection needed for assessing racial disparities, creating a tradeoff between protecting individual privacy and enabling algorithmic fairness in government programs.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
