This report shares the results of our comprehensive content audit and heuristic evaluation of eligibility pre-screeners, including ratings on security, mobile-friendly design, accessibility, and more.
The U.S. Department of Labor provides a playbook to help state workforce agencies enhance communication with unemployment claimants by offering clear, proactive updates on claim statuses, thereby improving claimant satisfaction and reducing call center inquiries.
This report provides specific actions the federal government could take to reduce identity fraud and establish a whole-of-government victim redress approach.
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike.
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.
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 case study describes Nava's with the state of Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) agency to build an eligibility screener tool.
This field guide is for digital services and technology leaders working at the federal, state, or local government level. It describes a way of applying research approaches to strategic decision making across digital services.
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
National Institute of Standards and Technology (NIST)
