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.
FY 2020 Award Summaries
FNS awarded the SNAP Fraud Framework Implementation Grants to support nine state agency projects:
- District of Columbia Department of Human Services ($95,770)
Develop a web-based training curriculum to provide fraud detection training and professional development to internal staff, and the enhancement of technology and equipment for investigators. - Maine Department of Health and Human Services ($734,990)
Develop a SNAP Trafficking Fraud Analysis Program. The automation of various processes through the implementation of the analytics system, eliminates manual data mining and duplicate function, making for a more effective case management system. The data analysis, mining and case management targeting capability will improve business processes, the efficiency and validity of data, the number of fraudulent cases, disqualifications, number of investigations, and prosecution. - Maryland Department of Human Services ($748,861)
Operationalize an integrated fraud detection system to improve the detection and investigation process of fraudulent activities within the SNAP program after certification. Procure a consultant to provide SNAP Fraud trainings to staff and employees statewide to improve client integrity education. - Michigan Department of Health and Human Services ($571,350)
Replace and transfer of an outdated Case Management System (CMS). Primary system features provide for centralized data management, and automated investigation report compilation and notation for efficiencies to support administrative disqualification hearing and county prosecutor requirements. The applicant will design improved and enhanced investigation logs for both investigator and management to allow for data driven case prioritization. - Rhode Island Office of Internal Audit ($508,013)
Enhancement of intelligence tool to join data to identify high risk recipients, integrate referral system with case management system to provide KPI (Key Performance Indicator) dashboard, and facilitate development of predictive models. Procurement of a consultant to develop an educational program focused on fraud training to internal staff and various departments. - South Carolina Department of Social Services ($683,075)
Develop an integrated fraud and recipient trafficking data analytics solution and investigative case management system. The data analytics solution will be configured specifically for the agency and will include alerts, geospatial maps, and profiles with fraud indicators. - South Dakota Department of Social Services ($436,880)
Enhance CMS capabilities through the implementation of a centralized database, enhancing reports, monitoring key SNAP fraud performance indicators, identifying, and flagging potential fraudulent cases and storing all SNAP information in a data warehouse. - Texas Health and Human Services Commission and Office of Inspector General ($521,650)
Develop and implement an automated fraud data analytics model focused on the post-eligibility determination stage, using combined data to determine trends, outliers, and other potential indicators of fraud by current SNAP recipients. - Washington State Department of Social and Health Services ($698,947)
Develop and implement a comprehensive dashboard utilizing KPIs that outline SNAP fraud detection and prevention efforts, support the analysis of program vulnerabilities, measure success rates, and identify trends to support the SNAP program.
These two-year grants will fund projects that support the implementation of the SNAP Fraud Framework – a collection of procedures, innovative ideas, and best practices provided to state agencies in May 2018. FNS created the SNAP Fraud Framework to improve state efforts to detect, investigate, and prevent SNAP recipient fraud.