Implementing flexible interview scheduling in Los Angeles County's CalFresh program significantly increased benefit approval rates and reduced processing times, particularly aiding working families, students, and individuals experiencing homelessness.
This brief shares findings from a November 2021 survey of state SNAP agencies about their use of the SNAP ARPA funds in fiscal year 2021, and their initial planned activities for fiscal year 2022 and 2023.
American Public Human Services Association (APHSA)
This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
This resource describes how different agencies have updated their systems to increase online and mobile access to benefits information and applications, including using text messages to share benefits information with residents.
This Urban Institute report explores the impact of benefit cliffs, plateaus, and trade-offs on families receiving public assistance, examining how changes in earnings affect access to essential benefits like SNAP, Medicaid, and housing subsidies.
This report describes C-Stat 2.0, an updated version of the the Colorado Department of Human Services’ performance-based analysis strategy that allows them to better focus on and improve performance outcomes that enhance people’s lives.
In this webinar, the Center on Budget and Policy Priorities and the Digital Benefits Network explored key terms related to digital identity, and provided ecosystem-level context on how authentication and identity proofing may show up in the online benefits experience and impact clients.
Based on state agency survey responses, this report summarizes key findings from the first calendar year of pandemic response and provides policy considerations for the future of SNAP.
American Public Human Services Association (APHSA)
On May 19, 2023, the Digital Benefits Network published a new, open dataset documenting authentication and identity proofing requirements across online SNAP, WIC, TANF, Medicaid, child care (CCAP) applications, and unemployment insurance applications.
County workers typically spend most of their time trying to get income information right during eligibility interviews. This article provides several recommendations for asking about income, accounting for cognitive biases, under-reporting, and complexities in reporting income.
This report explores how AI is currently used, and how it might be used in the future, to support administrative actions that agency staff complete when processing customers’ SNAP cases. In addition to desk and primary research, this brief was informed by input from APHSA’s wide network of state, county, and city members and national partners in the human services and related sectors.
American Public Human Services Association (APHSA)
mRelief recently completed a research study to investigate whether there are specific parts of the Supplemental Nutrition Assistance Program (SNAP; also known as food stamps) benefits application process that make it difficult to complete. We conducted interviews with mRelief users and SNAP outreach workers (individuals whose job responsibilities include providing SNAP application assistance in person or over the phone) in Illinois. We also conducted group interviews with SNAP outreach workers to collaborate with them to uncover findings and develop recommendations.
