The article discusses key takeaways from BenCon 2023, highlighting the importance of creating equitable and ethical public benefits technology. It emphasizes the need for tech solutions that address systemic inequalities, ensure accessibility, and promote inclusivity for underserved communities in accessing public services.
This report calculates the cumulative impact of major benefit programs on two types of families and how their benefits change as they move into the labor market and climb the ladder of upward mobility.
This publication describes the research process and protocol used in the Digital Benefits Networks research project, "Digital Account Creation and Identity Proofing in Public Benefits Applications."
This study highlights a 2.2% increase in citizen satisfaction with federal services, reaching a seven-year high, driven by improvements in digital experiences, government processes, and complaint handling.
The Medicaid Renewals Playbook offers strategies for technologists assisting states in streamlining Medicaid renewal processes during the COVID-19 Public Health Emergency unwinding.
On May 19, 2023, the Digital Benefits Network published a new, open dataset documenting authentication and identity proofing requirements across online SNAP, WIC, TANF, Medicaid, child care (CCAP)applications, and unemployment insurance applications. This page includes data and observations about authentication and identity proofing steps specifically for online unemployment insurance applications.
A modification of Bolder Advocacy’s ACT!Quick capacity self-assessment tool to incorporate additional equity-centered capacities, engage community authentically, and conduct research in culturally responsive ways.
This fact sheet outlines the key principles for designing an effective Child Tax Credit that reduces child poverty, supports working families, promotes racial and economic equity, and delivers long-term benefits for children and the economy.
Guidance on improving how well AI systems can understand digital content. It emphasizes using machine-readable formats and applying clear content design strategies to enhance both AI processing and human accessibility
