This academic article develops a framework for evaluating whether and how automated decision-making welfare systems introduce new harms and burdens for claimants, focusing on an example case from Germany.
The U.S. Department of Labor is working with states, territories, and the public to develop strategies to continuously improve the nation’s unemployment insurance (UI) systems.
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing strategies for states to collect current mailing addresses of Medicaid beneficiaries in advance of the Medicaid continuous coverage requirement — in effect under the federal public health emergency — unwinding.
This policy brief offers recommendations to policymakers relating to the computational and human sides of facial recognition technologies based on a May 2020 workshop with leading computer scientists, legal scholars, and representatives from industry, government, and civil society
EBT theft has deeply damaged the lives of the lowest-income Americans. The following insights reveal a system that leaves people in the dark and fails to protect a crucial lifeline.
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. This page includes data and observations about authentication and identity proofing steps specifically for online unemployment insurance applications.
This report summarizes 19 SNAP policy options (in effect as of Oct. 1, 2023) and waivers (implemented as of July 1, 2023) chosen by SNAP state agencies (50 states, the District of Columbia, Guam, and Virgin Islands) in federal fiscal year (FY) 2023.
This report examines how implementing Asset Verification Systems (AVS) can streamline Medicaid eligibility determinations for seniors and individuals with disabilities by automating the verification of applicants' financial assets.
Through the Coordinating SNAP & Nutrition Supports program, Mecklenburg County, NC leveraged a Food Security Navigator model and data analysis to increase access to nutrition supports. This report documents best practices and lessons learned from their project.
American Public Human Services Association (APHSA)
