A practical guidance document that explains how to design, code, and test HTML web forms so they are accessible to all users, including people with disabilities.
A case study explaining how a predictive, data-driven machine-learning model was developed to detect unauthorized cash benefit withdrawals more quickly and accurately in California.
A practical toolkit that provides plain-language writing resources, checklists, and guidance to help government and public-service teams write content that is clear, accessible, and centered on community needs.
A set of contract-ready principles and requirements that define how vendors must deliver user-centered, accessible, and data-informed digital services.
About one in five U.S. households lack home Internet access because many say they don’t need or want it and others—especially lower-income families—can’t afford service or the devices and skills to use it, highlighting persistent digital divide barriers.
National Telecommunications and Information Administration
A practical accessibility framework that provides testable heuristics to help designers and developers evaluate and improve the inclusivity of data visualizations and data-driven interfaces.
This article examines the historic structural changes to the Supplemental Nutrition Assistance Program (SNAP) enacted through H.R. 1 and their potential consequences for public health and food security.
