Criminal Reduction Utilising Statistical History
In today's world, Criminal Reduction Utilising Statistical History has become a topic of great relevance and interest to a wide spectrum of people. Since its emergence, Criminal Reduction Utilising Statistical History has deeply impacted different aspects of society, generating debates, reflections and significant changes. This article seeks to comprehensively and deeply address the importance of Criminal Reduction Utilising Statistical History, exploring its different aspects and consequences in various areas. Through a detailed analysis, it is intended to shed light on the most relevant aspects related to Criminal Reduction Utilising Statistical History, in order to generate greater understanding and awareness about its meaning and significance today.
Criminal Reduction Utilising Statistical History is an IBM predictive analytics system that attempts to predict the location of future crimes. It was developed as part of the Blue CRUSH program in conjunction with Memphis Police Department and the University of Memphis Criminology and Research department. In Memphis it was “credited as a key factor behind a 31 per cent fall in crime and 15 per cent drop in violent crime.”
As of July 2010, it was being trialed by two British police forces.
In 2014 a modified version of the system, called CRASH (Crash Reduction Analysing Statistical History) became operational in Tennessee aimed at preventing vehicle accidents.
See also
References
- ^ a b Tony Thompson (25 July 2010). "Crime software may help police predict violent offences". The Observer. Retrieved 26 July 2010.
- ^ Jim Ericson (21 July 2010). "A Cop When You Need One". Information Management. Retrieved 26 July 2010.
- ^ Jennings, Richi (27 July 2010). "Minority Report is reality, kinda (and APIEpicFail)". computerworld.com. Retrieved 13 August 2019.
- ^ Crawford, David (September–October 2015). "CRASH Predicts 'unpredictable' in traffic incidents". ITS International. Retrieved 13 August 2019.
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