The Benefits Enrollment Field Guide looks at the landscape of America’s safety net benefits experience in 2023 and tracks the differences from our 2019 assessment based on expanded evaluation criteria. It also highlights successful paths to equitable, human-centered experiences. It examines online enrollment for Modified Adjusted Gross Income (MAGI) Medicaid, SNAP, TANF, the Child Care Assistance Program (CCAP), and WIC.
Testing (and re-testing) your designs with users will help you build the best possible product. Our Validate Methods cover varied testing scenarios and potential user groups.
This report describes how the government can use widespread social media feedback and begin to build long-term measures to center people’s experience as an important component of policy design
The Michigan Department of Health and Human Services, together with the Food Bank Council of Michigan and the Michigan Department of Education developed a comprehensive Food Insecurity Map and a closed-loop referral system for nutrition and economic supports.
American Public Human Services Association (APHSA)
A guide by New America to help cities and states set up cash assistance programs for their residents, based on the Alia Cares platform that the National Domestic Workers Alliance built to run their Coronavirus Cares Fund that provides emergency assistance for home care workers to support them in staying safe and at home to slow the spread of COVID.
APHSA established a working group to identify strengths, barriers, and opportunities for better system alignment in human services for young parents and children, leading to the development of a roadmap to support meaningful systems-level changes.
American Public Human Services Association (APHSA)
The "Implementing Paid Family and Medical Leave" report examines New Jersey's experience with paid leave programs, offering insights and recommendations for effective policy design and implementation.
The team explored using LLMs to interpret the Program Operations Manual System (POMS) into plain language logic models and flowcharts as educational resources for SSI and SSDI eligibility, benchmarking LLMs in RAG methods for reliability in answering queries and providing useful instructions to users.
This report explores the role that academic and corporate Research Ethics Committees play in evaluating AI and data science research for ethical issues, and also investigates the kinds of common challenges these bodies face.
