In December 2024, the Digital Benefits Network released an updated open dataset on authentication and identity proofing requirements across various public benefits applications to highlight best practices and areas for improvement in identity management.
The State Chief Data Officer Tracker, created by the Beeck Center’s Digital Service Network and Data Labs teams, is a first-of-its-kind resource that tracks the evolving role of CDOs in state governments and their efforts to advance data-informed decision-making and collaboration across agencies.
DSN Spotlights celebrate our members’ stories, lift up actionable takeaways for other practitioners, and put the examples we host in the Digital Government Hub in context. Submit a proposal by May 31, 2025 to be featured in our series as part of our open call for submissions.
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for Arizona's online application for Unemployment Insurance.
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for Massachusetts' online application for Medicaid.
Created for use in the Digital Doorways research project, this design stimuli shows the steps of submitting an application, sharing personal information, and verifying identity for New York's online application for Unemployment Insurance.
A panel of experts discuss the application of civil rights protections to emerging AI technologies, highlighting potential harms, the need for inclusive teams, and the importance of avoiding technology-centric solutions to social problems.
A collaborative resource document detailing the civic tech support offerings, state and local government resources, and civic tech organizational support.
This paper explores how legacy procurement processes in U.S. cities shape the acquisition and governance of AI tools, based on interviews with local government employees.
