In this webinar, a panel of experts discuss what states can do right now to improve EBT security, how to use data to analyze theft patterns, and how EBT payment technology needs to evolve to ensure efficiency, security, and dignity for beneficiaries.
A practical guidance document outlining best practices for government procurement of data-driven technologies to improve transparency, accountability, and oversight.
The document outlines revisions to OMB's SPD No. 15, which updates the standards for collecting and presenting federal race and ethnicity data, including the integration of race and ethnicity questions, the addition of a MENA category, and requirements for more detailed data collection.
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 guide provides practical financing strategies for governments to build, maintain, and expand integrated data systems (IDS) and evaluation capacity using federal and non-federal funding sources.
This toolkit provides guidance to protect participant confidentiality in human services research and evaluation, including legal frameworks, risk assessment strategies, and best practices.
U.S. Department of Health and Human Services (HHS)
This case study highlights how Illinois is modernizing its student data infrastructure and interagency data sharing to increase access to SNAP and Summer EBT benefits for eligible children and families, particularly those facing systemic barriers.
American Public Human Services Association (APHSA)
This policy establishes a framework for ensuring the quality, accuracy, and reliability of government data to support effective decision-making, analytics, and artificial intelligence initiatives.
This publication offers a starting point into the current research and practice landscape on data interoperability for public benefits administration. It identifies key takeaways for those looking to advance such efforts in their jurisdiction. In particular, it pinpoints what the research reveals about key challenges benefits agencies face, as well as recommendations for addressing those challenges and examples of states and localities that have done so.
