Data & Research
Through an examination of 5 disasters in 4 states, this study develops recommendations for best practices in planning for, implementing, and operating D-SNAP.
This study reviewed corrective action plans (CAPs) for payment error rate, case and procedural error rate and quality control completion rate from eight states and describes the approaches used to develop, implement, and monitor CAPs. The study also identified challenges and promising practices and provided recommendations for improving states' ability to conduct corrective action activities.
This study examines the use of robotic process automation technologies by three state agencies—Georgia, New Mexico, and Connecticut—to administer SNAP.
This study evaluated emerging mobile communication strategies (MCS) technology, both before and after the COVID-19 pandemic. The primary purpose of this study was to better understand the existing landscape of MCS technology, and highlight best practices and lessons learned for from the use of MCS programs by SNAP state agencies.
All applicants and participants in SNAP are required to submit personally identifiable information for verification before receiving benefits. To better understand the evolving landscape of data security, USDA conducted this study to evaluate how state agencies protect PII of SNAP recipients and compiled best practices for maintaining data security of program.
The purpose of this study is to help FNS better understand how states are implementing the SNAP E&T case management requirement, including how they assess individuals’ needs for services and supports and provide participant reimbursements and other support services. It was also intended to identify promising practices and lessons learned that can be used to support states as they work to provide case management services aligned with their participants’ needs, available resources, and program priorities.
This study describes the wage subsidy and work-based learning models that aid in improving employment outcomes, the extent to which these models promote strong connections between government programs and employers, and the implications of previous findings on how to best implement wage subsidy and work-based learning programs within the SNAP Employment and Training (E&T) program.