John S. Hollywood (he/him) is a senior operations researcher at the RAND Corporation, where he conducts decision science research in the areas of criminal justice, homeland security, and information technology. He is an internationally-recognized expert on the use of machine learning in policing and criminal justice technology more broadly. He recently led projects including: development of a web resource on preventing and protecting against mass attacks; a web resource on top policing strategies and how to implement them; evaluating ICE's body worn camera pilot; a technology evaluation at a major active shooting exercise in Grand Central Terminal; numerous panels to determine science and technology-related needs for the Departments of Justice and Homeland Security; and multi-year evaluations of predictive policing experiments and real-time crime operations centers. He previously served as the manager of the RAND Center for Quality Policing and Director of the NLECTC Information and Geospatial Technologies Center. He has written opinion pieces on best practices in counterterrorism and law enforcement technology for The Hill, United Press International, CNN, The Charlotte Observer, Crane's Chicago Business, Government Technology, and ORMS Today.
Ph.D. in operations research, MIT; B.S. in applied mathematics, MIT
