This study explores the causal impacts of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month.
This report calculates the cumulative impact of major benefit programs on two types of families and how their benefits change as they move into the labor market and climb the ladder of upward mobility.
There were over 25 million Medicaid disenrollments in 2023, but national enrollment remained significantly above pre-pandemic levels at over 56 million, with notable state-level variations and near-recovery of child enrollment.
The study investigates how state agencies administering SNAP comply with Title VI of the Civil Rights Act by providing language access for individuals with limited English proficiency (LEP).
The team aimed to automate applying rules efficiently by creating computable policies, recognizing the need for AI tools to convert legacy policy content into automated business rules using Decision Model Notation (DMN) for effective processing and monitoring.
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).
This report explains how the A-87 Exception enabled states to modernize and integrate health and human services systems, improving service delivery, efficiency, and data sharing across programs.
American Public Human Services Association (APHSA)
This brief describes TDI’s efforts to transform federal TANF and employment data into an integrated resource for program management and evidence building.
This article discusses Code for America’s research into the user experience of applying or Medicaid, SNAP, TANF, WIC, and LIHEAP in the United States. They found that user experience applying for benefits programs varies greatly by (and often within) each state.
