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)
Digital IDs can improve convenience, but they risk surveillance, data misuse, and exclusion if not designed with privacy, security, and accessibility safeguards.
An online hub that connects WIC agencies and their partners through a national Data Matching Community of Practice, offering quarterly virtual convenings to share best practices, case studies, and peer learning on strategies to improve WIC outreach and enrollment.
This report warns that federal data collection is being undermined by budget cuts, political interference, and leadership changes that threaten the reliability of core economic and social statistics.
This article examines the matrix of vulnerabilities that low-income populations face from the widespread collection of big data and predictive analytics.
A foundational guide that introduces the principles, governance considerations, and technical approaches involved in sharing and integrating administrative data across organizations.
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.
The report discusses how state Medicaid agencies can utilize Supplemental Nutrition Assistance Program (SNAP) data to streamline the Medicaid renewal process, thereby maintaining coverage for eligible beneficiaries.
This policy memorandum from the Food and Nutrition Service (FNS) provides guidance on data sharing activities that support targeted outreach and streamlined certification processes aimed at increasing the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) participation and retention.
The State of Connecticut's policy on Artificial Intelligence (AI) Responsible Use establishes a comprehensive framework for the ethical utilization of artificial intelligence in the Connecticut state government.
The City of Boston's disability-aware standards for City resources and the collection of disability data from residents throughout government processes.
