Topic: Policy
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TANF Data Collaborative Pilot: Longitudinal Data for Understanding Participant Actions in New York
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.
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TANF Data Collaborative Pilot: Housing Transitions in New Jersey
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.
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TANF Data Collaborative Pilot: Family Characteristics in Utah
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.
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TANF Data Collaborative Pilot: Analyzing Application Denial Rates in Michigan
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.
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Strengthening Analytics in Government Agencies: A Toolkit for Sustainable Data Use
This toolkit offers strategies and tools to help agencies build the culture and infrastructure needed to apply data analysis routinely, effectively, and accurately – referred to in this publication as “sustainable data use.”
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Medicaid And SNAP Advance Equity But Sometimes Have Hidden Racial And Ethnic Barriers
Medicaid and SNAP have reduced racial and ethnic disparities in healthcare access and food security, but some administrative and eligibility policies continue to create inequitable barriers.
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Tips on Equitable Communication Practices in a Policy Context
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this tip sheet highlights the importance of using equitable communication and includes tips, guiding questions, and additional resources.
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In-Depth Equity Assessment Guide
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this tool describes how to conduct intensive equity assessments of existing programs, policies, and processes. It may be useful for state and local governments, tribal governments, and other private or non-profit organizations focused on programs and policies relating to health and human services.
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Guide on Advancing Equity through Quantitative Analysis
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias).
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Guide on Advancing Equity by Incorporating Intersectionality in Research and Analysis
This guide explores intersectionality and why it is essential for advancing equity. It explores strategies for planning and conducting research with an intersectional lens, describes quantitative measures and methods to examine differences across groups of people with intersecting identities, and provides key considerations for using qualitative data to better understand intersectionality.
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Equity Assessment Tip Sheet
Originally created for use by federal staff at the U.S. Department of Health and Human Services, this tool describes the six steps for conducting equity assessments and provides tips for completing each step.
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Commonwealth of Virginia Artificial Intelligence Executive Order
The Commonwealth of Virginia's Executive Order Number Five (2023): Recognizing The Risks And Seizing The Opportunities Of Artificial Intellignece to ensure responsible, ethical, and transparent use of artificial intelligence (AI) technology by state government.