This report explores the financial challenges faced by U.S. workers, analyzing the roles of work arrangements and public and workplace benefits in achieving financial security, while highlighting the disparities in access and effectiveness for low- and moderate-income workers.
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 report outlines the guiding principles, policy priorities, and tools for the National Collaborative for Integration of Health and Human Services, aimed at improving health and well-being outcomes through the integration of health care and human services programs.
American Public Human Services Association (APHSA)
This report highlights 5 key takeaways from the Aspen Institute Financial Security Program's 2022 Benefits Forum, where 55 experts from various sectors discussed solutions for improving public and private benefits to better support workers and their families.
The Modern Government Leaders program brought together federal executive innovators to share best practices and drive service delivery and process modernization.
During the call, we heard from two speakers: April Dunlap, Policy Administrator for Arizona’s Department of Economic Security and Professor Michele Gilman, Venable Professor of Law and Associate Dean for Faculty Research and Development at the University of Baltimore School of Law.
An event recap from one of FormFest 2024's breakout sessions featuring speakers from the state of Maryland's Department of Social Services and the U.S. Department of Health and Human Services (HHS).
This blog describes how 18F adopted a new illustration library (“18F Folks”) based on Open Peeps, to better represent diversity, context, and human experiences in their visual communications.
This article advises government agencies to prioritize cybersecurity methods over AI-driven approaches when combating identity fraud in benefits programs, highlighting potential risks that automated systems pose to legitimate applicants.
