research

Ferguson, Andrew Guthrie, Big Data and Predictive Reasonable Suspicion (April 4, 2014). 163 U. Pa. L. Rev. 327 (2015). Available at SSRN: http://ssrn.com/abstract=2394683 or http://dx.doi.org/10.2139/ssrn.2394683

van Brakel, Rosamunde & Paul De Hert: Policing, surveillance and law in a pre-crime society: Understanding the consequences of technology based strategies. Cahiers Politiestudies, Jaargang 2011-3, nr. 20 p. 163-192. ISBN 978-90-466-0412-0

Hunt, Priscillia; Jessica Saunders; John S. Hollywood (2014). Evaluation of the Shreveport Predictive Policing Experiment; Report RR531, Rand Corporation.

The tactics and strategies employed by the United States in its ‘War on Terrorism’ have generally been condemned as departures from the norms of how a democratic government conducts itself. Reforms are thus thought needed to place the ‘War on Terror’ under the rule of law and protect civil liberties. This article attempts to counter that view.

Manning, Peter K. (2011). The Technology of Policing — Crime Mapping, Information Technology, and the Rationality of Crime Control; New York: New York University Press. ISBN: 978-0-8147-6136-6. 338 pages. $26.00

Peter Manning's book is a field study of Crime Mapping (CM) Crime Analysis (CA).

It apppears slightly dated now. as the field work was conducted between 1996 and 2002.

The focus of the book is how police use (or fail to use) CM/CA technologies.

Manning, Peter K. (2008). The Technology of Policing — Crime Mapping, Information Technology, and the Rationality of Crime Control; New York: New York University Press. ISBN: 978-0-8147-5724-6 $39.00

The book is based on a 6 year research project (1996–2002), examining the impact of information technology (IT), specifically Crime Mapping (CM) and Crime Analysis (CA, on policing. Three city police departments provide the focus for the research, i.e. a north western city not disclosed referred to as ‘Western city’, Washington D.C., and Boston.

Gerber, Matthew S. (2014). Predicting crime using Twitter and kernel density estimation; Decision Support Systems Volume 61, May 2014, Pages 115–125

Sætnan, Ann Rudinow (2015). The Haystack Fallacy – or Why Big Data Provides Little Security; 3rd International LAVITS Symposium: Surveillance, Tecnopolitics, Territories; 13th – 15th May 2015. Rio de Janeiro, Brazil.