This page describes how the GSA’s 10x team supported digital trust and security across federal services by building shared tools, automating compliance, and exploring privacy-preserving techniques.
This page describes the agency’s investments in digital tools and services aimed at reducing friction in how people find, apply for, and maintain eligibility for federal benefits.
The portfolio page outlines federal projects focused on elevating how people interact with government services by prioritizing user needs, accessibility, equity, and consistency across agencies.
A comprehensive report outlining a student-led strategy to improve access to mental health supports through prevention, early intervention, and treatment across schools and community partners.
This blog post describes how the NYC Service Design Studio engaged residents in the development of the Community Compensation Fund, highlighting lessons on trust-building, equitable collaboration, and inclusive community decision-making.
This blog describes how 18F adopted a new illustration library (“18F Folks”) based on Open Peeps, to better represent diversity, context, and human experiences in their visual communications.
This page reports on key metrics assessing how well federal websites are performing against standards for accessibility, mobile usability, search, feedback, design consistency, analytics, and security.
Outlines recommendations from the U.S. House of Representatives for the responsible adoption, governance, and oversight of artificial intelligence technologies across state agencies.
Bipartisan House Task Force on Artificial Intelligence
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.
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 report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
