This bill authorizes the U.S. Digital Service to make a grant to a state, Indian tribe, or local government to establish or support a team of relevant experts dedicated to modernizing the delivery of government services to the public through information technology. A state, tribe, or local government may receive up to two such grants.
Government leaders discuss how to ensure seamless access to public benefits through breaking down silos, user-friendly digital identities, and privacy-focused security measures.
Presentation covering the findings of a research study analyzing the structural and budgetary layout of of eleven US-based Digital Service Teams (DSTs) at the municipal, county, and state levels.
This brief highlights key takeaways from APHSA’s work on young families, starting with an overview of the young families work and its early years, followed by key takeaways and highlights from its final year, ending with opportunities for future work in the young families space.
American Public Human Services Association (APHSA)
Building on our February 2022 report Benefit Eligibility Rules as Code: Reducing the Gap Between Policy and Service Delivery for the Safety Net, the Beeck Center’s Digital Benefits Network (DBN) recently held a convening to share progress and potential in digitizing benefits eligibility and to begin addressing how a national approach could be started.
This report highlights key findings from the Rules as Code Community of Practice, including practitioners' challenges with complex policies, their desire to share knowledge and resources, the need for increased training and support, and a collective interest in developing open standards and a shared code library.
This toolkit outlines actionable changes for government practitioners looking to improve the accuracy and accessibility of the questions on their forms that collect information about a user’s gender.
This report outlines state Medicaid program priorities, including expanding access to services, addressing health disparities, and implementing cost-containment measures amid post-pandemic uncertainties.
This study explores the causal impacts of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month.
