This report explores policy options Utah and other states can adopt to mitigate benefit cliffs, which occur when small income increases lead to sudden loss of public assistance.
This report explores how AI is currently used, and how it might be used in the future, to support administrative actions that agency staff complete when processing customers’ SNAP cases. In addition to desk and primary research, this brief was informed by input from APHSA’s wide network of state, county, and city members and national partners in the human services and related sectors.
American Public Human Services Association (APHSA)
This research summary presents findings from a randomized controlled trial demonstrating how mRelief’s simplified SNAP application significantly increases application rates among eligible individuals.
This study examines public attitudes toward balancing equity and efficiency in algorithmic resource allocation, using online advertising for SNAP enrollment as a case study.
This guide highlights approachable ideas for state and local public benefits agencies to improve applications, renewals, and correspondence. As outlined in this resource, even small improvements can be transformative for residents and caseworkers alike.
This issue brief illustrates the challenges that many older adults with low income face in gaining access to benefits online. It addresses digital literacy, access to broadband internet, and the increasing prevalence of connecting online to SNAP.
