This OPRE brief provides strategies for enhancing cultural responsiveness in social service agencies, focusing on improving services for diverse communities through organizational change, staff development, and culturally informed program design.
U.S. Department of Health and Human Services (HHS)
Millions in government benefits go unclaimed annually due to complex applications and lack of awareness. Simplifying processes, targeted outreach, and streamlined support can increase accessibility and ensure eligible individuals receive assistance.
The Atlanta Fed’s CLIFF tools provide greater transparency to workers about potential public assistance losses when their earnings increase. We find three broad themes in organization-level implementation of the CLIFF tools: identifying the tar- get population of users; integrating the tool into existing operations; and integrating the tool into coaching sessions.
This brief describes TDI’s efforts to transform federal TANF and employment data into an integrated resource for program management and evidence building.
There is a key disconnect between policymakers’ intent and implementation of policies. A user-centric, iterative, and data-driven approach can result result in digital technology that provides much needed data and insights at a substantially lower cost.
Through the ACCESS project, key collaborators have shared insights into current and future opportunities for alignment within their agencies, including potential enablers for and barriers to alignment activities.
American Public Human Services Association (APHSA)
This resource contains specific examples that highlight the advantages of designing reusable code components, software tools, or design formats. This guide also illustrates the possibilities for connecting new components to existing system infrastructure.
This brief highlights the complex journey that older adults experience when applying for and enrolling in SNAP, including the major barriers and solutions that improve access along the way.
This report by EPIC investigates how automated decision-making (ADM) systems are used across Washington, D.C.’s public services and the resulting impacts on equity, privacy, and access to benefits.
