The goal of this study was to pilot creating a WIC participant characteristics (PC) longitudinal data set with one WIC state agency. Eight state agencies with varying management information systems (MIS) platforms and high quality WIC PC 2020 data completed a survey about their MIS and longitudinal data provision capabilities. The survey assessed these state agencies’ MIS capabilities, as measured in six areas, to provide a longitudinal data set. This report describes the process of working with one WIC state agency to create a pilot WIC PC longitudinal data set of infant and child participants and the challenges and successes of this effort.
This information collection is for activities associated with SNAP demonstration projects and the SNAP State Options Report, respectively.
List of awarded grants for FY 24 SNAP Process and Technology Improvement Grants.
On July 16, 2019, FNS awarded nearly $5.1 million in SNAP Fraud Framework Implementation Grants to support state agency efforts to improve and expand recipient fraud prevention, detection, and investigation efforts using the procedures, ideas and practices outlined in the SNAP Fraud Framework.
On Sept. 20, 2020, FNS awarded nearly $5 million in SNAP Fraud Framework Implementation Grants to support state agency efforts to improve and expand recipient fraud prevention, detection, and investigation efforts using the procedures, ideas and practices outlined in the SNAP Fraud Framework.
On Aug. 10, 2022, FNS awarded approximately $3.9 million in SNAP Fraud Framework Implementation Grants to support state agency efforts to improve and expand recipient fraud prevention, detection, and investigation efforts using the procedures, ideas and practices outlined in the SNAP Fraud Framework.
The Agricultural Improvement Act of 2018 (the 2018 Farm Bill), Section 4015 Longitudinal Data for Research, approved building state longitudinal research databases containing participation information about SNAP individuals and households.
On Aug. 31, 2023, FNS awarded approximately $3 million in SNAP Fraud Framework Implementation Grants to support state agency efforts to improve and expand recipient fraud prevention, detection, and investigation efforts using the procedures, ideas and practices outlined in the SNAP Fraud Framework.
This grant competition supports efforts by state agencies and their community-based and faith-based partners to develop and implement projects that use technology to improve the quality and efficiency of SNAP application and eligibility determination systems.
This study examines the use of robotic process automation technologies by three state agencies—Georgia, New Mexico, and Connecticut—to administer SNAP.