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).
DatabitesData & Society Fellow Ravi Shroff studies the development and implementation of predictive models for decision making in city and state government. This talk covers Shroff’s research on improving decision making within poli... Read moreJune 2017
Harvard Business ReviewJongbin Jung, Connor Concannon, D&S fellow Ravi Shroff, Sharad Goel, and Daniel G. Goldstein explore new methods for machine learning in criminal justice. Simple rules certainly have their advantages, but one might reasona... Read on Harvard Business ReviewApril 2017
SSRNSharad Goel, Maya Perelman, D&S fellow Ravi Shroff, and David Alan Sklansky examine a method that can "reduce the racially disparate impact of pedestrian searches and to increase their effectiveness". Abstract is below: Th... Read on SSRNApril 2017
PointsD&S fellow Ravi Shroff examines Cathy O'Neil's analysis of criminal justice algorithms, like predictive policing. "There are a few minor mischaracterizations and omissions in this chapter of Weapons of Math Destruction t... Read on PointsOctober 2016