A report from the State of California presenting an initial analysis of where generative AI (GenAI) may improve access of essential goods and services.
A recent study challenges the common belief that income support programs like SNAP reduce employment, finding that for individuals with a work history, receiving SNAP benefits can actually increase long-term employment.
This report examines how states strategically approached managing and administering the historic influx of COVID-19 relief funds for child care and early childhood systems, focusing on governance structures, funding management systems, and data systems
This toolkit is designed to assist state and local TANF agencies in accessing, linking, and analyzing employment data from unemployment insurance (UI) systems.
This Issue Spotlight explores the challenges that recipients of public benefits programs offering cash assistance encounter in accessing funds through financial products or services, with a specific focus on assistance provided on prepaid cards.
The Center for Democracy and Technology's brief clarifies misconceptions about artificial intelligence (AI) in government services, emphasizing the need for precise definitions, awareness of AI's limitations, recognition of inherent biases, and acknowledgment of the significant resources required for effective implementation.
In this presentation, Pia Andrews explores how open source legislation as code can be a public utility to increase transparency, and enable better implementation and testing of government systems.
A four-part U.S. Digital Service blog series detailing how the federal “Birth of a Child and Early Childhood” Life Experience team used human-centered design to improve benefit access, peer support, and maternal mental health services for families with children ages 0–5.
