Dr Justin Ready

Associate Professor, School of Criminology and Criminal Justice, Griffith University

Dr Justin Ready is an Associate Professor in the School of Criminology and Criminal Justice at Griffith University. He received his PhD at Rutgers University, where he served as Project Director in the Centre for Crime Prevention Studies. He later worked as a Senior Research Associate at the Police Foundation in Washington, DC. His research focuses on crime hot spots, the link between crime and public health, and the impact of new technology on police practices. He is the 2013 recipient of the Young Experimental Scholar Award and the 2016 recipient of the Award for the Outstanding Experimental Field Trial. Recently, he has studied the evolution police command and control structures, the effects of active shooter incidents on officer memory, and the impact of body cameras and GPS technology on police operations. His publications have appeared in academic journals such as Criminology, the Journal of Experimental Criminology and Justice Quarterly.

Presentation & Discussion: Getting Off the Drawing Board: The Pitfalls of Implementing New Responses to Policing Problems

There are four basic reasons why a problem-oriented- or evidence-based-policing initiative might fail: 1) the problem was inaccurately identified; 2) the problem was insufficiently or inadequately analyzed; 3) the responses developed from the analysis were improperly or insufficiently implemented, or not implemented at all; or 4) the problem was properly identified and analyzed, and responses were implemented, but the responses did not have the desired effect. This session deals with the third of these four reasons: implementing responses to problems in problem-oriented and evidence-based policing initiatives. It addresses the reasons why the responses you plan to implement do or do not get properly implemented, and how you can better ensure that they do. There are factors to consider in four project stages: 1) the preimplementation stage; 2) the planning stage; 3) the implementation stage; and 4) the post-implementation learning stage.