A blog post highlighting how youth employment interns contributed to shaping and co-designing the Youth Connector project by leading research, feedback sessions, and design testing to ensure the platform reflects youth needs.
A practical toolkit that guides teams through designing and building accessible forms in print and PDF formats that are usable by people with disabilities and meet accessibility standards.
A public web guide designed to help federal agencies understand and implement the SHARE IT Act’s code-sharing requirements, with documentation, tools, and procedural resources for compliance.
U.S. Department of Health and Human Services (HHS)
A practical guide for advocates that explains how automated benefit notices are generated, where common notice failures originate, and how to push for effective fixes.
A report examining how risk assessment tools are used to improve payment accuracy in nutrition assistance programs and identifying effective practices for their design and implementation.
A practical toolkit that helps human services agencies coordinate programs and benefits to better support whole families through aligned policies, processes, and service delivery.
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 + examples we host in the Digital Government Hub in context.
This publication summarizes a body of research about how state benefits administering agencies build and maintain integrated eligibility and enrollment (IEE) systems. It is an easy to reference guide for state administrators, legislators, advocates, and delivery partners.
This publication explains current state integrated eligibility and enrollment (IEE) system implementation processes, approaches, and opportunities for future processes and technologies. It is a resource for state officials, advocates, funders, and tech partners working to implement these systems.
This resource provides state agencies and their implementation partners with context on how and why to conduct a Digital Identity Risk Management (DIRM) process, as well as a new spreadsheet-based tool to guide agency teams through the process.
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.
