The report evaluates the 2023 Newborn Supply Kit pilot program, highlighting its effectiveness in reducing maternal stress, alleviating financial burdens, and increasing trust in government services among new parents, especially in low-income communities.
U.S. Department of Health and Human Services (HHS)
A comprehensive analysis of how government digital service teams document and communicate their impact across federal, state, and local levels. This report aims to identify key reporting trends and practices to help teams develop impact narratives that demonstrate their value to stakeholders.
The SDCI User Research Participant Compensation Policy establishes guidelines for providing honoraria to user research participants, ensuring equitable, ethical, and inclusive engagement in SDCI’s UX research.
Seattle Department of Construction & Inspections (SDCI)
This publication describes the research process and protocol used in the Digital Benefits Networks research project, "Digital Account Creation and Identity Proofing in Public Benefits Applications."
The Montgomery County Public Libraries (MCPL) website redesign plan outlines how to improve user access to resources through inclusive design and better navigation. It also shares goals of best practices in UX design with the public library community to promote digital equity. The project involves collaboration with the MCPL Digital Strategies Team and other partners, focusing on redesigning content for early literacy, teens, and children.
The user recruitment services resolution passed in Saint Paul, MN for a third year in a row in 2024. It allows for city funds to be used to compensate community members who participate in research.
CMS has identified a number of immediate and longer-term strategies that states can implement to improve application processing timeframes and address application backlogs.
This toolkit provides practical guidance for agencies, researchers, and community partners to embed racial equity throughout every stage of data integration and use.
This report analyzes lawsuits that have been filed within the past 10 years arising from the use of algorithm-driven systems to assess people’s eligibility for, or the distribution of, public benefits. It identifies key insights from the various cases into what went wrong and analyzes the legal arguments that plaintiffs have used to challenge those systems in court.
