Benefits Program: TANF: Temporary Assistance for Needy Families
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Policy Building and Sustaining Data Analytics Capacity: The TANF Data Collaborative Pilot Initiative Final Report
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.
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Data The Five Phases of Successful Data Analytics: TANF Data Collaborative Pilot Resources Toolkit
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).
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Digitizing Policy + Rules as Code Benefits Cliffs Coaching with the Atlanta Fed’s CLIFF Tools: Implementation Evaluation of the National Pilot
The Atlanta Fed’s CLIFF tools provide greater transparency to workers about potential public assistance losses when their earnings increase. We find three broad themes in organization-level implementation of the CLIFF tools: identifying the tar- get population of users; integrating the tool into existing operations; and integrating the tool into coaching sessions.
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Human-Centered Design Federal Customer Experience: OMB Has Taken Actions to Implement Cross-Agency Priority Goals
The 2021 President’s Management Agenda identified federal customer experience as a priority area for improvement. GAO was asked to review OMB and selected federal agencies’ efforts to improve federal customer experience.
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Human-Centered Design ‘They’re Stealing Food From My Kids’: SNAP recipients and the struggle against EBT Theft
EBT theft has deeply damaged the lives of the lowest-income Americans. The following insights reveal a system that leaves people in the dark and fails to protect a crucial lifeline.
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Automation + AI HHS Plan for Promoting Responsible Use of Artificial Intelligence in Automated and Algorithmic Systems by State, Local, Tribal, and Territorial Governments in the Administration of Public Benefits
This plan promotes responsible AI use in public benefits administration by state, local, tribal, and territorial governments, aiming to enhance program effectiveness and efficiency while meeting recipient needs.
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Data Transforming Administrative Data into a Resource for Evidence Building
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.
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Human-Centered Design Improving Access to Public Benefits and Customer Experience: Key Actions and Best Practices
Comprehensive and sustained improvement in benefits access and customer experience requires changes across policy, operations, technology, staffing, procurement, and more. This guide offers a collection of actions and best practices for states to apply.
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Diversity, Equity + Inclusion System Alignment for Young Families: Shifting Human Services to Improve Well-Being for Parents Under 24 and Their Children
Building on previous work to develop a roadmap for system-level change to better support young families, the System Alignment for Young Families Learning Academy (SAYF) set out to support cross-systems teams from state and local human services agencies in establishing a System Alignment Plan (SAP) to support young families.
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Automation + AI The Ohio Benefits Program is “BOT” In
This award documentation from the National Association of State Chief Information Officers (NASCIO) explains how agencies in Ohio used automation to support administration of public benefits programs.
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Policy Fewer Burdens but Greater Inequality? Reevaluating the Safety Net through the Lens of Administrative Burden
This paper examines changes in administrative burden in U.S. social safety net programs, or the negative encounters with the state that people experience when trying to access and use the benefits for which they are eligible. While overall burdens have declined in most targeted programs, there is evidence of increasing inequality regarding who faces these burdens.
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Policy Analysis 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.