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.
Our existing maze of family tax benefits — including the CTC, Earned Income Tax Credit (EITC), Child and Dependent Care Tax Credit (CDCTC), and head of household (HoH) filing status — has several structural deficiencies that make overhauling the system a prerequisite for any effort to boost support for families with children. The report offers several options for expanding and streamlining family tax benefits to address these issues.
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.
American Public Human Services Association (APHSA)
This issue brief illustrates the challenges that many older adults with low income face in gaining access to benefits online. It addresses digital literacy, access to broadband internet, and the increasing prevalence of connecting online to SNAP.
In this policy brief and video, Michele Gilman summarizes evidence-based recommendations for better structuring public participation processes for AI, and underscores the urgency of enacting them.
Safeguarding privacy and addressing algorithmic bias can pose an under-recognized trade-off. This brief documents tradeoffs by examining the U.S. government’s recent efforts to introduce government-wide equity assessments of federal programs. The authors propose a range of policy solutions that would enable agencies to navigate the privacy-bias trade-off.
This memo provides state agencies with guidance on allowable use of advanced automation technologies. FNS encourages and supports state agencies’ use of advanced automation technologies to enhance the administration of SNAP and foster public trust, both in SNAP and in the state agencies’ systems, within the framework of statutory and regulatory requirements.
This policy brief offers recommendations to policymakers relating to the computational and human sides of facial recognition technologies based on a May 2020 workshop with leading computer scientists, legal scholars, and representatives from industry, government, and civil society
Overview: Families with the youngest children stand to gain the most from improved access to benefits, yet persistent fragmentation in early care and education (ECE) programs creates challenges in finding, applying for, and enrolling in services. As a result, families miss out on critical opportunities for their children at the time when these ECE programs have the highest impact. The New Practice Lab examined what these missed opportunities look like up close in one state and collected data on the fractured system of programs and funding streams across all fifty states to begin illustrating the complexity that families face. Ultimately, we see wide variation across states with plenty of opportunities to increase access to information, simplify application procedures, and create more equitable access to these services.
Government agencies at all levels collect administrative data in the course of their day-to-day operations. While such information has been used to determine effectiveness through program evaluations for many years, program administrators view it increasingly as a valuable resource that can also be used to improve program performance. For example, administrative data from employment and public benefits programs such as Temporary Assistance for Needy Families (TANF) can offer insights into families’ unmet needs and ways to improve services.
