Palestras e Seminários

27/09/2017

16:00

auditório Fernão Stella de Rodrigues Germano

Palestrante: Luiz Gustavo de Andrade Alves (ICMC)

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Understanding and preventing crime remains a major challenge for human society. Evidence suggests that the impunity of criminals may lead to the spreading of disorder and proliferation of criminality. Despite recent advances obtained in criminology about the mechanisms of crime, we need more empirical investigations and model validation for a better understanding of crime. Statistical physics has proven to be very useful in revealing patterns in phenomena outside the traditional physics. From economical to biological systems, methods from statistical physics and networks have been applied successfully to gain useful information about those systems. However, only recently the same formalism was applied in the study of crime. Here, I describe some of these applications at different levels of resolution: cities and individuals. I believe that, with the increasing amount of data related to crime, applications of statistical physics tools and network science are not only viable but necessary. Thus, crime can be explored at different levels, from countries and cities to individual criminals. These applications allow the modeling of individual criminal patterns and establishing of laws describing the emergent behavior of crime interactions in the different levels of society.

 

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