This video demonstrates how to use Iowa's Child Care Connect (C3), a centralized data system that integrates near-real-time child care data to support families, providers, policymakers, and economic development efforts across the state.
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 case study series highlights innovative state strategies to improve data coordination between SNAP and Medicaid agencies and increase access for eligible people.
This report offers best practices for public agencies implementing digital identity verification, emphasizing privacy, equity, and security in the delivery of government services.
This report provides a comprehensive analysis of administrative burdens, offering strategies to reduce unnecessary obstacles in public service delivery, with a focus on improving access to government services for underserved and marginalized populations.
Government leaders discuss how to ensure seamless access to public benefits through breaking down silos, user-friendly digital identities, and privacy-focused security measures.
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 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.
