Using intelligence led policing to fight bank robberies in Rio Grande do Norte, Brazil
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Abstract
Bank Robberies is one of the greatest challenges faced by police in Brazil, especially its most violent type, known as “Novo Cangaço”. This type of crime occurs when a gang of many criminals heavily armed attacks a small town, using violence and intimidation as weapons to assault all banks that there are in that town. This problem is even bigger in Northeast Region of Brazil. During this paper we are going to show how Intelligence Led Policing, one of the most modern police management techniques was employed by federal and state polices to reduce bank robberies in Rio Grande do Norte, one of the states located in Northeast Region in Brazil. We are also going to present how we could use a Machine Learning technique to help police decisions makers to select the best options to maximize impact.
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