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 presentation shares user experience research on the challenges, priorities, and opportunities for improving the journey of Bay Area residents seeking affordable housing.
This study examines public attitudes toward balancing equity and efficiency in algorithmic resource allocation, using online advertising for SNAP enrollment as a case study.
County workers typically spend most of their time trying to get income information right during eligibility interviews. This article provides several recommendations for asking about income, accounting for cognitive biases, under-reporting, and complexities in reporting income.
This 2023 presentation from the California Employment Development Department details the user personas the agency used to evaluate vendor proposals for a new identity proofing contract.
State of California Employment Development Department (EDD)
A virtual event showcasing how one city applied technology, including artificial intelligence, to streamline municipal code administration and reduce bureaucratic friction.
