An updated guide for public sector and civic data users to embed racial equity and community voice throughout the data life cycle—from planning to dissemination.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
This resource page provides comprehensive information on the state's initiatives, policies, training, and governance related to the adoption and implementation of generative AI technologies in government operations.
This paper examines the challenges U.S. state and local digital service teams face in retaining talent and offers strategies to improve retention and team stability.
This provides a comprehensive look at child well-being across the U.S., ranking states and highlighting policy recommendations to improve outcomes for children.
This strategy document establishes a governance framework and roadmap to ensure responsible, trustworthy, and effective AI use across Canadian federal institutions.
This webpage provides state agency resources and policy memos detailing how the One Big Beautiful Bill Act (H.R. 1) of 2025 affects SNAP implementation.
This report catalogs the policy choices, demonstration projects, and waivers each state uses to administer SNAP, highlighting how states adapt federal rules to local needs.
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 integrated online application that includes SNAP and Medicaid.
This FormFest profile highlights Riverside County’s pilot of AI-powered interviews that streamline benefit applications, reducing bureaucratic burden on families in crisis while freeing caseworkers to focus on human connection.
