Government leaders discuss how to ensure seamless access to public benefits through breaking down silos, user-friendly digital identities, and privacy-focused security measures.
The team introduced an AI assistant for benefits navigators to streamline the process and improve outcomes by quickly assessing client eligibility for benefits programs.
Through deeply reported case studies and insights from focus groups, this report provides an in-depth look at the impact of pandemic-era government spending on families.
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)
An online hub that connects WIC agencies and their partners through a national Data Matching Community of Practice, offering quarterly virtual convenings to share best practices, case studies, and peer learning on strategies to improve WIC outreach and enrollment.
This brief estimates of benefits, costs, interactions with other means tested programs, and impact on poverty for the paid family and medical leave program.
This report offers best practices for public agencies implementing digital identity verification, emphasizing privacy, equity, and security in the delivery of government services.
