This report presents new national survey data showing how benefits cliffs and asset limits negatively affect the economic mobility of low-wage workers in the U.S.
This provides a comprehensive look at child well-being across the U.S., ranking states and highlighting policy recommendations to improve outcomes for children.
The report examines how AI deployment across state and local public administration such as chatbots, voice transcription, content summarization, and eligibility automation are reshaping government work.
Federal guidelines for digital identity services, outlining technical and procedural requirements for identity proofing, authentication, and federation.
National Institute of Standards and Technology (NIST)
A case study documenting how a modular API layer was built to support a state-level paid family and medical leave program, improving interoperability, scalability, and user experience.
An analysis showing that a proposed plan to shift some cost of SNAP benefits to states could push nearly 900,000 additional people into poverty during a recession.
A case study documenting how a human-centered claimant portal was developed for the New Jersey Department of Labor (NJDOL) to modernize unemployment insurance access using agile development and API technology.
This article offers three human‑centered strategies to help state agencies implement expanded work reporting requirements in SNAP and Medicaid under H.R. 1 with minimal burden on clients and staff.
An online hub that connects WIC agencies and their partners through a national Data Matching Community of Practice, offering quarterly virtual convenings to share best practices, case studies, and peer learning on strategies to improve WIC outreach and enrollment.
This 11x17 service blueprint visualizes every step, system, and policy decision involved in implementing Medicaid work requirements under H.R. 1—from application to renewal—identifying pain points, questions, and opportunities for states to streamline and humanize the process
This report examines how governments can effectively build, attract, and retain AI talent to responsibly integrate artificial intelligence into public service delivery.
