The COVID Response Project was funded by the W.K. Kellogg Foundation to document the real-time impacts of the COVID-19 pandemic on state human services agencies and capture state perspectives on lessons learned to guide future federal policymaking and state implementation. The project was completed by the American Public Human Services Association (APHSA) in partnership with the U.S. Department of Health and Human Services, Administration for Children and Families (ACF), Office of Regional Operations. Insights from the report reflect information obtained through APHSA’s on-going support of state human services agencies’ COVID-19 response efforts as well as a series of in-depth interviews with executive leadership of the 14 state health and human services agencies in ACF’s Region 1 (New England) and Region 4 (Southeast) areas.
American Public Human Services Association (APHSA)
Digitizing public benefits policy will make the biggest impact for administrators and Americans, but only if it happens at the highest level of government.
This guide outlines how states can use TANF funds to provide direct cash assistance to families, particularly through flexible mechanisms like nonrecurrent short-term benefits (NRSTs).
Nava built flexible and reusable software and design components to make it easier for Vermonters to access their benefits. These components support Vermont’s long-term vision of integrating eligibility and enrollment processes for all of the state’s healthcare and financial benefit programs.
This brief examines how state Temporary Assistance for Needy Families (TANF) programs adapted policies during the early stages of the COVID-19 pandemic to address emerging challenges.
The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.
This report examines how state governments organize and manage human services programs, analyzing various agency structures and their impact on service delivery and coordination with the health care sector.
A case study of the Hawai‘i Career Acceleration Navigator — an accessible, data-driven and full-service government platform for unemployed people and other jobseekers to search for jobs and access supportive service benefits.
PolicyEngine US is a Python-based microsimulation model of the US tax and benefit system. It models federal individual income taxes (including credits), major benefit programs, and state income taxes (currently in six states). The PolicyEngine US package can be used as a Python package, via the PolicyEngine API, or via the policyengine.org web app.
This resource describes how different agencies have updated their systems to increase online and mobile access to benefits information and applications, including using text messages to share benefits information with residents.
This Urban Institute report explores the impact of benefit cliffs, plateaus, and trade-offs on families receiving public assistance, examining how changes in earnings affect access to essential benefits like SNAP, Medicaid, and housing subsidies.
