Building on our February 2022 report Benefit Eligibility Rules as Code: Reducing the Gap Between Policy and Service Delivery for the Safety Net, the Beeck Center’s Digital Benefits Network (DBN) recently held a convening to share progress and potential in digitizing benefits eligibility and to begin addressing how a national approach could be started.
The design system provides standardized components, templates, and design tokens to help developers and designers create consistent, accessible, and user-friendly Canadian government digital services.
The Figma library offers designers a comprehensive set of pre-built components and templates to create consistent and accessible digital services for the Government of Canada.
This is a monorepo managing the web components of the Government of Canada's Design System, facilitating the creation of consistent and accessible digital services.
This course provides Head Start program leaders with strategies and tools to foster inclusive environments for LGBTQIA2S+ individuals within their programs.
U.S. Department of Health and Human Services (HHS)
This brief provides research recommendations to improve programs serving LGBT youth, focusing on homelessness and sexual health education services funded by the U.S. Department of Health and Human Services.
U.S. Department of Health and Human Services (HHS)
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 page describes the agency’s investments in digital tools and services aimed at reducing friction in how people find, apply for, and maintain eligibility for federal benefits.
This page provides a U.S. Web Design System pattern for collecting pronoun 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 case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
