This article discusses Code for America’s research into the user experience of applying or Medicaid, SNAP, TANF, WIC, and LIHEAP in the United States. They found that user experience applying for benefits programs varies greatly by (and often within) each state.
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.
This case study highlights Michigan’s integrated, data-driven approach to reducing food insecurity through cross-agency collaboration, referral tracking, and targeted outreach.
American Public Human Services Association (APHSA)
Through a field scan, this paper identifies emerging best practices as well as methods and tools that are becoming commonplace, and enumerates common barriers to leveraging algorithmic audits as effective accountability mechanisms.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
This report explores how state and local agencies can enhance customer service in health and human services by implementing technologies such as web-based tools, mobile applications, and call center innovations, aiming to streamline processes and improve client interactions.
The Unemployment Insurance Equitable Access Toolkit contains common equity recommendations, promising practices, and insights, represented visually as a different floor of an agency office building, compiled in one interactive document.
Drawing on the Beeck Center’s research on government, nonprofit, academic, and private sector organizations that are working to improve access to safety net benefits, this report highlights best practices for creating accessible benefits content.
Approximately 12 million low-income individuals risk missing out on federal stimulus payments due to non-filing status, prompting the Center on Budget and Policy Priorities (CBPP) to recommend targeted state outreach to connect eligible non-filers with their Economic Impact Payments (EIPs).
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.
Webinar that shares Nava’s partnership with the Gates Foundation and the Benefits Data Trust that seeks to answer if generative and predictive AI can be used ethically to help reduce administrative burdens for benefits navigators.
