Practitioner Picks is a quarterly series designed to add fresh resources to the Digital Government Hub’s library, helping people improve government digital service delivery. Each issue spotlights resources chosen by practitioners in a specific service delivery area along with their insights on why these picks are valuable additions to the Hub.
This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
U.S. Department of Health and Human Services (HHS)
This brief highlights key takeaways from APHSA’s work on young families, starting with an overview of the young families work and its early years, followed by key takeaways and highlights from its final year, ending with opportunities for future work in the young families space.
American Public Human Services Association (APHSA)
This report investigates how D.C. government agencies use automated decision-making (ADM) systems and highlights their risks to privacy, fairness, and accountability in public services.
Code for America CEO introduces the Safety Net Innovation Lab in a TED Talk, their initiative to work with state governments to reimagine and rebuild delivery of accessible and equitable benefits. This article also includes the video of Renteria’s talk and a transcript.
This article offers three human‑centered strategies to help state agencies implement expanded work reporting requirements in SNAP and Medicaid under H.R. 1 with minimal burden on clients and staff.
A comprehensive resource guide providing an overview of mobile driver’s licenses (mDLs) in the United States, including their implementation status, technical standards, and key privacy and accessibility considerations.
The Temporary Assistance for Needy Families (TANF) Data Collaborative Pilot Initiative is a component of the TANF Data Innovation project. The 30-month pilot offered technical assistance and training to support cross-disciplinary teams of staff at eight state and county TANF programs in the routine use of TANF and other administrative data to inform policy and practice.
This report focuses on the impact of adopting a national PFML program modeled on existing state programs, known as the Family and Medical Insurance Leave (FAMILY) Act.
