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.
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 brief describes the TANF Data Collaborative (TDC), an innovative approach to increasing data analytics capacity at state Temporary Assistance for Needy Families (TANF) agencies.
The New Mexico Human Services Department and Department of Health, as part of the Coordinating SNAP & Nutrition Supports program, leveraged data sharing to align SNAP, Medicaid, TANF, and WIC. Their new online interface automates the referral process, making it easier for families to access the nutrition and economic supports they are eligible for.
American Public Human Services Association (APHSA)
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs. By developing the NJ Nutritional Data Hub and an innovative webservice, the project identified and reached out to families receiving SNAP but not WIC, and vice versa, significantly streamlining the adjunctive eligibility process. This report documents best practices and lessons learned from their project.
American Public Human Services Association (APHSA)
The Michigan Department of Health and Human Services, together with the Food Bank Council of Michigan and the Michigan Department of Education developed a comprehensive Food Insecurity Map and a closed-loop referral system for nutrition and economic supports. The goal of these initiatives was to leverage cross-sector data to inform policy decisions, streamline access to food assistance, and reduce administrative burden. This report documents lessons learned and outcomes of their project.
American Public Human Services Association (APHSA)
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)
This report highlights best practices and lessons learned from Kansas' partnership with Delivering Change to improve SNAP and WIC access in seven counties through innovative data sharing and targeted outreach.
American Public Human Services Association (APHSA)
This report documents best practices and lessons learned from project streamlined data sharing between SNAP and WIC, enhancing cross-enrollment processes
American Public Human Services Association (APHSA)
A report from the State of California presenting an initial analysis of where generative AI (GenAI) may improve access of essential goods and services.
This 2023 presentation from the California Employment Development Department details the user personas the agency used to evaluate vendor proposals for a new identity proofing contract.
State of California Employment Development Department (EDD)
