A guidance resource for state and local governments outlining first-step actions to prepare for compliance with the new web and mobile accessibility rule under Americans with Disabilities Act (ADA).
A practical, plain-language guide offering public-sector procurement and technology teams actionable tools and best practices for procuring AI responsibly and effectively.
An online course that introduces core concepts of web accessibility, including why it matters, key standards, and how to make digital content accessible to a wider range of people and situations.
A practical toolkit that helps human services agencies coordinate programs and benefits to better support whole families through aligned policies, processes, and service delivery.
This field guide provides research-based design principles for creating clear, usable forms that help voters accurately complete election-related paperwork and successfully take action.
This field guide provides practical guidance for conducting usability testing on ballots to identify design issues and ensure voters can successfully cast their votes as intended.
DGN Spotlights are short-form project profiles that feature exciting work happening across our network of digital government practitioners. Spotlights celebrate our members’ stories, lift up actionable takeaways for other practitioners, and put the resources and examples we host in the Digital Government Hub in context.
An interactive prototype that illustrates a user interface concept for the Seattle Next Move service, showcasing screen flows and interactions for mobile/web user journeys.
A curated toolkit of plain-language writing resources, training, and guidance aimed at helping government and public-service staff create accessible, easily understood communications.
This resource offers practical strategies for early childhood programs to create inclusive, affirming environments for LGBTQIA2S+ families and their children.
U.S. Department of Health and Human Services (HHS)
This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
