This report details the use of the historic investment of $1 billion in funding from the American Rescue Plan Act (ARPA) to the Department of Labor and state unemployment (UI) agencies to modernize state UI programs.
An article examining how automation and AI are being used in welfare systems, arguing that digital benefits administration often reproduces longstanding patterns of surveillance, exclusion, and inequality.
This webpage from the U.S. Department of Labor (DOL) provides guidance on improving mobile usability for Unemployment Insurance (UI) systems to enhance customer experience and accessibility.
The Equitable Community Engagement Toolkit is a toolkit created by City of Philadelphia engagement practitioners and community members to help improve equitable collaboration with the community the City serves.
City of Philadelphia Office of Civic Engagement and Volunteer Service
Errors in administrative processes are costly and burdensome for clients but are understudied. Using U.S. Unemployment Insurance data, this study finds that while automation improves accuracy in simpler programs, it can increase errors in more complex ones.
This case study series highlights innovative state strategies to improve data coordination between SNAP and Medicaid agencies and increase access for eligible people.
This report summarizes 19 SNAP policy options (in effect as of Oct. 1, 2023) and waivers (implemented as of July 1, 2023) chosen by SNAP state agencies (50 states, the District of Columbia, Guam, and Virgin Islands) in federal fiscal year (FY) 2023.
This report explores technologies that have the potential to significantly affect employment and job quality in the public sector, the factors that drive choices about which technologies are adopted and how they are implemented, how technology will change the experience of public sector work, and what kinds of interventions can protect against potential downsides of technology use in the public sector. The report categories technologies into five overlapping categories including manual task automation, process automation, automated decision-making systems, integrated data systems, and electronic monitoring.
