This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
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)
The Improving Service Delivery in EITC for New Yorkers initiative explores ways to enhance access to the Earned Income Tax Credit (EITC) through improved outreach, application processes, and service delivery.
The experience of the COVID-19 pandemic and its induced recession underscored the crucial importance of unemployment insurance (UI) to workers, and to the stability of the American economy. Temporary federal expansions of unemployment systems during the pandemic showed how they can quickly be scaled to increase benefit levels and to include categories of workers who were not previously eligible, such as the self-employed, caregivers, and low-wage workers. And, states showed that separate programs can be set up to provide similar benefits to workers who are explicitly excluded from unemployment insurance—in particular immigrants who do not have a documented immigration status.
A discussion of lessons learned in the City of San José’s efforts to provide inclusive digital services for all residents through the San José 311 app.
Code for America explores the systems at play and the individuals experience of participants in WIC. By investigating overall quantitative trends in coverage, redemption, and retention rates, they use the data as a guide to build out a qualitative research plan that explains why such trends are occurring.
This report explores Michigan’s implementation of the Pandemic Electronic Benefit Transfer (P-EBT) program. Drawing on interviews from individuals within the Michigan Department of Health and Human Services and input from SNAP participants via surveys distributed using the Fresh EBT app, this report provides insights into the strategies that enabled Michigan to roll out an entirely new program quickly and effectively.
This report documents best practices and lessons learned from project streamlined data sharing between SNAP and WIC, enhancing cross-enrollment processes
American Public Human Services Association (APHSA)
What exactly are the differences between generative AI, large language models, and foundation models? This post aims to clarify what each of these three terms mean, how they overlap, and how they differ.
Center for Security and Emerging Technology (CSET)
This playbook outlines the ways Community Action and human services agencies worked together to meet the pandemic challenge—what worked well, obstacles and difficulties, and lessons learned to inform the path forward, partnering to achieve a more equitable recovery. It also explains how communities have leveraged opportunities to partner on approaches that hold the promise of deeper, longer lasting changes for families—work shaped by families’ wishes and strengths and designed to advance both family-level and systems-level change.
American Public Human Services Association (APHSA)
