Benefits Program: TANF: Temporary Assistance for Needy Families
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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.
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Policy Analysis 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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Policy Analysis 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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Policy Analysis 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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Data New Mexico’s Coordinating SNAP & Nutrition Support Impact Report
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.
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Digital Identity Promising Practices for Digital Identity in Public Benefits
This piece highlights promising design patterns for account creation and identity proofing in public benefits applications. The publication also identifies areas where additional evidence, resources, and coordinated federal guidance may help support equitable implementations of authentication and identity proofing, enabling agencies to balance access and security.