This guide consolidates learning and spotlights principles, insights, and emerging practices to guide municipal leaders and public-private partnerships interested in designing basic income programs that are ethical, equitable, rigorous, informative, and consequential for local, state and national policymaking.
This report outlines how modernizing unemployment insurance (UI) technology with a worker-centered approach can improve access, efficiency, and equity in the UI system.
This analysis explores the potential reduction in poverty rates across all U.S. states if every eligible individual received full benefits from seven key safety net programs, highlighting significant decreases in overall and child poverty.
This report shares the results of our comprehensive content audit and heuristic evaluation of eligibility pre-screeners, including ratings on security, mobile-friendly design, accessibility, and more.
In 2018 the Better Identity Coalition released a Policy Blueprint outlining five key initiatives that to solve the majority of America’s challenges in the digital identity space. This report from 2024 grades progress on each of the original Blueprint’s five key initiatives – as well as the 19 items that were contained in the “action plan” to support those initiatives.
Biometric identification technologies—such as facial recognition and fingerprinting—can affect underserved communities, including low-income and minority communities. GAO interviewed academics, advocacy groups, and technology experts to find out how.
This retrospective looks at the way the NYCOpportunity initiative worked across City government, partnering with agencies to initiate new approaches and enhance city practices. It also highlights key areas of focus for the NYC Opportunity team between 2014 and 2021.
This landscape analysis examines data, design, technology, and innovation-enabled approaches that make it easier for eligible people to enroll in, and receive, federally-funded social safety net benefits, with a focus on the earliest adaptations during the COVID-19 pandemic.
The Center for Democracy and Technology's brief clarifies misconceptions about artificial intelligence (AI) in government services, emphasizing the need for precise definitions, awareness of AI's limitations, recognition of inherent biases, and acknowledgment of the significant resources required for effective implementation.
Through the interviews, ULP sought to capture details of claimant experience, see how and why system failures occurred, and make recommendations for reform now—before another financial or public health crisis suddenly causes state unemployment rates to spike.
