Databites 100 Series: Stats and the City: A Data-Driven Approach to Criminal Justice and Child Welfare

Ravi Shroff speaks about his research studying predictive models for decision-making in city and state government. Ravi Shroff is a Research Scientist at New York University’s Center for Urban Science and Progress (CUSP), where he specializes in computational social science. His work involves using statistical and machine learning techniques to understand the criminal justice system, child welfare, and related urban issues. At Data & Society, Ravi will examine how simple computational models can be designed and implemented in city government. He studied mathematics at UC San Diego (PhD) and applied urban science and informatics at CUSP (MS).