This brief outlines research recommendations to better understand and improve income support and employment services for low-income and at-risk LGBT populations.
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 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)
A catalogue to help teams design trustworthy services that work for people. Categories including informing decisions, signing into services, giving and removing consent, and doing security checks.
In order to create for all, we have to employ processes that authentically engage misrepresented communities. People tend to think of diversity, equity, and inclusion (DEI) efforts in terms of implicit bias workshops, employee resource groups, and hiring processes. These efforts are all important, but it is also necessary to focus on DEI as it relates to the creation of products, services, and content, and use a design-thinking approach to tackle these tricky issues.
This report evaluates the effectiveness and implementation of a generative AI-powered assistive chatbot designed to help caseworkers navigate complex public benefit programs like Medicaid and SNAP.
A curated collection of practical guides that help government teams improve digital services, website content, and forms using plain language, content design, and user-centered practices.
This research explores how software engineers are able to work with generative machine learning models. The results explore the benefits of generative code models and the challenges software engineers face when working with their outputs. The authors also argue for the need for intelligent user interfaces that help software engineers effectively work with generative code models.
In response to COVID-19, the Workers Lab and Steady developed the "Income Passport" to streamline gig workers' unemployment benefit applications by pulling income data directly from gig platforms and financial accounts. This tool reduced manual verification time, helped prevent fraud, and improved workers' access to full benefits, with successful tests in Alabama and Louisiana demonstrating significant time savings and improved service delivery.
