This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
U.S. Department of Health and Human Services (HHS)
This memo provides information to child and family service agencies on improving support for intersex children, adolescents, and their families through affirming practices, resources, and partnerships.
U.S. Department of Health and Human Services (HHS)
This page provides a U.S. Web Design System pattern for collecting race and ethnicity information in user profiles in a way that respects identity, supports data standards, and promotes inclusion.
This framework provides voluntary guidance to help employers use AI hiring technology in ways that are inclusive of people with disabilities, while aligning with federal risk management standards.
This roadmap outlines NYC’s strategy to achieve digital equity by expanding broadband access, improving digital literacy, and fostering cross-agency coordination.
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 toolkit outlines actionable changes for government practitioners looking to improve the accuracy and accessibility of the questions on their forms that collect information about a user’s gender.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
This guide outlines free and low-cost digital inclusion resources available in Long Beach, CA, including internet access, device distribution, digital skills training, and job readiness programs.
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.
