This report examines the phenomenon of "churn" in public benefit programs, where eligible participants temporarily lose benefits due to administrative processes, analyzing its impact on both recipients and state agencies, and suggesting strategies to reduce its occurrence.
This resource provides strategies, practical examples, and templates for attracting, developing, and retaining a high-performing digital service workforce.
This guide is intended to provide everything else, with a focus on the basics of UI technology projects, guidance on standards for equitable uses of technology, and strategies for how to have a positive impact on these projects.
This article details California's Disaster Relief Assistance for Immigrants (DRAI) program, which provided $500 in cash aid to undocumented adults affected by the COVID-19 pandemic, highlighting the collaborative efforts between the state, community-based organizations (CBOs), and Code for America to distribute $75 million to 150,000 individuals.
The IRS is arguably the single most critical benefits administrator in the country, given its responsibility for tax credit-based relief programs, and COVID-19 relief payments. Despite these programs’ incredible progress in reducing poverty, and despite great strides by the IRS to implement them successfully, accessing IRS benefits remains too difficult for many low-income families. This report presents a comprehensive agenda to increase benefit coverage rates, simplify Americans’ interactions with the IRS, and decrease the portion of IRS benefits diverted to third parties.
The Urban Institute's report outlines actionable approaches for state governments and organizations to enhance the accessibility and retention of public benefit programs, focusing on service delivery, policy reforms, and technological advancements.
This guide provides practical insights for benefits administrators on redesigning benefits systems using human-centered design to ensure all eligible residents can access crucial social safety net resources.
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
This toolkit provides practical guidance for agencies, researchers, and community partners to embed racial equity throughout every stage of data integration and use.
