June 2016

June 2016 Meeting

June 15, 2016 | 12:00pm - 2:00pm

The New York City Police Department's Domain Awareness System

The New York City Police Department (NYPD), the largest state or local police force in the United States, is charged with securing New York City from crime and terrorism. The NYPD's Domain Awareness System (DAS) is a citywide network of sensors, databases, devices, software, and infrastructure that informs decision making by delivering analytics and tailored information to officers' smartphones and precinct desktops. DAS development began in earnest in 2008; since then, the NYPD has used the system to employ a unique combination of analytics and information technology, including pattern recognition, machine learning, and data visualization. DAS is used throughout the NYPD and the DAS software has been sold to other agencies, bringing in revenue for New York City. Through improving the efficiency of the NYPD's staff, the DAS has an estimated savings of $50 million per year. Most importantly, the NYPD has used it to combat terrorism and improve its crime-fighting effectiveness. Since DAS was deployed department-wide in 2013, the overall crime index in the city has fallen by 6 percent.


Evan Levine

Evan Levine

Director of Analytics, NYPD Counterterrorism Bureau

Dr. Evan Levine is the Director of Analytics at the New York City Police Department's Counterterrorism Bureau. Previously, he served as Chief Scientist at the Department of Homeland Security's Office of Risk Management and Analysis. He is the author of the textbook Applying Analytics: A Practical Introduction and his work has been published in Science, Risk Analysis, Analytics Magazine, and several other peer reviewed journals. He earned his Ph.D. in Astrophysics from the University of California at Berkeley and he holds a Masters of Advanced Study in Mathematics from Cambridge University in England. He is a member of the American Association for the Advancement of Science (AAAS), the Institute For Operations Research and Management Science (INFORMS), and the Society for Risk Analysis (SRA).