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Predictive policing

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The State of the Police Field: A New Professionalism in Policing?

June 2010

Panelists debate the premise of a Harvard Executive Session working paper that suggests police organizations are striving for a "new" professionalism. Leaders are endeavoring for stricter standards of efficiency and conduct, while also increasing their legitimacy to the public and encouraging innovation. Is this new? Will this idea lead to prematurely discarding community policing as a guiding philosophy?

A View From the Street: Police Leaders Share Their Perspectives on Urgent Policy and Research Issues

June 2010

Sponsored by the International Association of Chiefs of Police (IACP) and its Research Advisory Committee (RAC), this panel unites law enforcement leaders from across the country to discuss their policy and research concerns. Charles Wellford, IACP RAC co-chair and University of Maryland professor, will facilitate the panel. Presenters will discuss urgent policing issues that merit ongoing research, law enforcement and academic research partnerships, and how research can and does affect agency policy and operations.

LEADS Scholar Spotlight — Reducing Gun Violence

May 2018
Cory Nelson, a captain with the Madison Police Department in Wisconsin and a Class of 2015 scholar of NIJ’s Law Enforcement Advancing Data and Science (LEADS) Program, speaks about how he was able to reduce gun violence in Madison thanks to implementing the Koper Curve Theory. He learned of this new principle as part of the LEADS Program when he attended the Evidence-Based Policing Symposium at George Mason University earlier this year.

LEADS Scholar Spotlight — Predictive Policing Algorithms

May 2018
Shon Barnes, a deputy police chief with the Salisbury Police Department in North Carolina and a Class of 2015 scholar of NIJ’s Law Enforcement Advancing Data and Science (LEADS) Program, explains predictive policing and details a quasi-experiment that his department performed. He credits the LEADS Scholarship Program with helping him understand data and ask the right questions.