An interactive dashboard that enables users to explore and monitor key metrics of the Supplemental Nutrition Assistance Program (SNAP) Quality Control (QC) system.
A directive issued by the Commonwealth of Virginia to materially reduce the error rate in Supplemental Nutrition Assistance Program (SNAP) benefit processing among local social services offices.
A case study explaining how a predictive, data-driven machine-learning model was developed to detect unauthorized cash benefit withdrawals more quickly and accurately in California.
This project portfolio page details a human-centered service design partnership with the Michigan Unemployment Insurance Agency (UIA) to revitalize and streamline the state's unemployment benefits system following crisis-level strain.
A blog introducing an interactive viewer that helps users explore SNAP Quality Control error data to better understand payment accuracy trends and administrative challenges across states.
An advisory playbook to help state and local government leaders improve SNAP payment accuracy and lower administrative burdens following the passage of H.R. 1.
The report reviews the scope and methods of SNAP benefit theft—including card skimming, cloning, phishing, and algorithmic attacks—and examines the effectiveness of state and federal countermeasures.
