This case study highlights Michigan’s integrated, data-driven approach to reducing food insecurity through cross-agency collaboration, referral tracking, and targeted outreach.
American Public Human Services Association (APHSA)
This video, produced after the completion of the TDC Pilot, features staff members from the California, Colorado, Minnesota, and Virginia TANF agencies reflecting on their challenges, accomplishments, and general experiences during the pilot.
U.S. Department of Health and Human Services (HHS)
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.
This interim final rule requires SNAP State agencies to provide information to the NAC regarding individuals receiving SNAP benefits in their states in order to ensure they are not already receiving benefits in another state.
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 Long Beach Tree Map shows trees throughout the Long Beach region which centralizes, organizes, and visualizes information regarding where and how many trees as well as their type.
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)
Monthly SNAP participation data for the United States and every state, from October 1988 through the latest month published by USDA Food and Nutrition Service (generally a 3-month lag).
This article highlights how state unemployment insurance (UI) agencies are leveraging data to modernize systems and enhance access for unemployed workers.
