This article explores some of the challenges gig workers face in enrolling in SNAP, as well as present and future policy solutions to ease access to SNAP.
This piece highlights promising design patterns for account creation and identity proofing in public benefits applications. The publication also identifies areas where additional evidence, resources, and coordinated federal guidance may help support equitable implementations of authentication and identity proofing, enabling agencies to balance access and security.
This toolkit offers strategies and tools to help agencies build the culture and infrastructure needed to apply data analysis routinely, effectively, and accurately – referred to in this publication as “sustainable data use.” It covers a variety of subjects – from staffing and technology to collaboration and funding – that can impact the longevity of analytics work in the public sector.
This article explores how although SNAP and Medicaid programs have succeeded in narrowing health and nutrition disparities, certain policies hinder goals of racial and ethnic equity, even though they do not explicitly mention race or ethnicity.
Although the use of artificial intelligence (AI) chatbots in public organizations has increased in recent years, crucial gaps remain unresolved, and this paper explores adoption and implementation of chatbots in state government contexts.
This paper describes the policy choices, business practices, and technology innovations that the State of New Jersey is employing to ensure that the right people get benefits — accurately and on time.
In this piece, the Digital Benefits Network shares several sources—from journalistic pieces, to reports and academic articles—we’ve found useful and interesting in our reading on automation and artificial intelligence.
This article theorizes the wait list as an underexamined vehicle of administrative burden. Focusing on the example of subsidized chidl care, the article's findings suggest wait lists as understudied but consequential sites of opaque policymaking that shape access to critical social services and the legibility of unmet need.
This study investigates how administrative burdens influence differential receipt of income transfers after a family member loses a job, looking at Unemployment Insurance, Temporary Assistance for Needy Families, and the Supplemental Nutrition Assistance Program.
