This playbook offers a comprehensive guide to enhancing unemployment benefits systems, focusing on claimant-centric approaches, equitable access, and actionable steps for state agencies.
This playbook provides federal agencies with guidance on implementing AI in a way that is ethical, transparent, and aligned with public trust principles.
U.S. Department of Health and Human Services (HHS)
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias).
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
This paper introduces a framework for algorithmic auditing that supports artificial intelligence system development end-to-end, to be applied throughout the internal organization development lifecycle.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
In this report, the Strike Team outlines its recommendations and suggested next steps for the EDD to address the backlog and improve on future processing of unemployment claims.
The Increasing Stimulus Payment Take-up in California report by the California Policy Lab examines barriers to accessing federal stimulus payments and provides strategies to increase take-up among eligible Californians, particularly low-income and non-filers.
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 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)
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.
This U.S. Department of Labor (DOL) strategy outlines a roadmap for modernizing the Unemployment Insurance (UI) system to enhance efficiency, equity, and access for workers.
