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.
Remote identify proofing is the process federal agencies and other entities use to verify that the individuals who apply online for benefits and services are who they claim to be. If the applicant responds correctly to personal questions, their identity is considered to be verified. However, data stolen in recent breaches could be used fraudulently to respond to knowledge-based verification questions. Alternative methods are available that provide stronger security, but these methods may have limitations in cost, convenience, technological maturity, and they may not be viable for all segments of the public.
The Urban Institute's report outlines actionable approaches for state governments and organizations to enhance the accessibility and retention of public benefit programs, focusing on service delivery, policy reforms, and technological advancements.
This report analyzes the critical role of SNAP’s "broad-based categorical eligibility" (BBCE) policy and the widespread consequences of its potential elimination by the Trump Administration.
This technical brief uses predictive analytics to identify the primary drivers of SNAP payment error rates (PER) following the implementation of the One Big Beautiful Bill (OBBB).
The Michigan Department of Health and Human Services, together with the Food Bank Council of Michigan and the Michigan Department of Education developed a comprehensive Food Insecurity Map and a closed-loop referral system for nutrition and economic supports.
American Public Human Services Association (APHSA)
This primer is written for a non-technical audience to increase understanding of the terminology, applications, and difficulties of evaluating facial recognition technologies.
This report summarizes findings and observations on the implementation of Phase 1 of the U.S. Department of Labor’s Open UI Initiative, highlighting effective strategies, challenges, opportunities, and recommendations for supporting states’ UI modernization efforts.
The report discusses how state Medicaid agencies can enhance efficiency and maintain coverage for eligible individuals by implementing ex parte renewals, which automatically renew beneficiaries' coverage using existing data without requiring action from enrollees.
