This toolkit provides individuals and organizations with guidance, drawn from learning and experience, on how to use administrative and other data to inform program improvements. It collects concrete strategies and practitioner-tested tools designed to advance these efforts. These materials were developed in pilot projects with local Temporary Assistance for Needy Families (TANF) agencies as part of the TANF Data Collaborative (TDC).
In 2017, the Administration for Children and Families (ACF) under the U.S. Department of Health and Human Services began the TANF Data Innovation (TDI) project. Its goal was to expand TANF agencies use of TANF administrative and employment data to improve program services and outcomes for families with low incomes. This report focuses on the TANF Data Collaborative (TDC) component of the TDI. TDC provided technical assistance (TA) and learning opportunities to two groups: all TANF agencies serving families on or eligible for TANF, and a select few agencies chosen for the TDC Pilot Initiative.
This assessment aims to help states gain a comprehensive understanding of their successes and shortcomings in their data strategies and enhance their strategic and tactical plans.
To assist states in closing digital skill gaps and preparing for digital equity planning, this brief offers key questions and resources for state leaders to consider.
This dashboard provides a comprehensive view of underlying trends in unemployment across Michigan. It serves as an invaluable resource for understanding the impacts of unemployment on various industries, occupations, and communities. By providing detailed insights into sectors experiencing layoffs, claimant demographics, and the regions most affected, the dashboard equips us with the data needed to develop targeted solutions tailored to the needs of Michiganders.
This research brief summarizes the ideas and recommendations from sessions with dozens of cross-sector stakeholders within the technology ecosystem to identify conditions for better, healthier, more secure digital ecosystems that could help guide the next generation of open protocols and platforms.
This brief describes TDI’s efforts to transform federal TANF and employment data into an integrated resource for program management and evidence building. This challenging project required the resolution of multiple technical, legal, and data security issues. Lessons learned may be useful for audiences interested in unlocking the potential of administrative data, including members of federal and state agencies, researchers, and advocates of evidence-informed policymaking.
The New York State Office of Information Technology established guidelines for the acceptable and responsible use of Artificial Intelligence technologies by state entities.
New York State Office of Information Technology Services
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.
