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October 04 2013

*Predictive Policing* _The Role of Crime Forecasting in Law Enforcement Operations_ | Rapport 2013…

Predictive Policing
The Role of Crime Forecasting in Law Enforcement Operations | Rapport 2013 de la RAND Corporation, by Walter L. Perry, Brian McInnis, Carter C. Price, Susan Smith, John S. Hollywood

Predictive policing is the use of analytical techniques to identify promising targets for police intervention with the goal of preventing crime, solving past crimes, and identifying potential offenders and victims. These techniques can help departments address crime problems more effectively and efficiently. They are being used by law enforcement agencies across the United States and elsewhere, and these experiences offer valuable lessons for other police departments as they consider the available tools to collect data, develop crime-related forecasts, and take action in their communities. This guide is one in a series of resources sponsored by the National Institute of Justice to help police departments develop strategies to more effectively prevent crime or conduct investigations. It provides assessments of some of the most promising technical tools for making predictions and tactical approaches for acting on them, drawing on prior research, information from vendors and developers, case studies of predictive policing in practice, and lessons from the use of similar techniques in military operations. It also dispels some myths about predictive methods and explores some pitfalls to avoid in using these tools. Predictive policing is a topic of much enthusiasm and much concern, particularly with regard to civil liberties and privacy rights. As this guide shows, these tools are not a substitute for integrated approaches to policing, nor are they a crystal ball; the most effective predictive policing approaches are elements of larger proactive strategies that build strong relationships between police departments and their communities to solve crime problems.

#prédiction #police #surveillance via @evgenymorozov cc @pr

En lien :

August 16 2013

*The vanishing cost of guessing*

The vanishing cost of guessing

[C]ritics charge that big data will make us stick to constantly optimizing what we already know, rather than thinking out of the box and truly innovating. We’ll rely on machines for evolutionary improvements, rather than revolutionary disruption. An abundance of data means we can find facts to support our preconceived notions, polarizing us politically and dividing us into “filter bubbles” of like-minded intolerance. And it’s easy to mistake correlation for causality, leading us to deny someone medical coverage or refuse them employment because of a pattern over which they have no control, taking us back to the racism and injustice of Apartheid or Redlining.

// via where the complete article is available - here

#données - #prédiction #prévention #anticipation #corrélation - #coût #préjugé

#Daten #Vorhersage #Vorsorge #Analyse #Zusammenhang - #Kosten #Vorurteil - #gelenkte #Wahrnehmung

#big_data #data - #prediction #preventing #analysis - #cost #prejudice #bias #preconception

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