Prevención de Homicidios

Is it possible to prevent homicides through a warning system in the city of Medellín? How does calling for police help or having a guardian prevent homicides from happening? In which areas of the city are cases of homicide more frequent and should receive special institutional attention? These issues are explored in the research proposed for the Information System for Security and Social Coexistence (Sistema de Información para la Seguridad y la Convivencia - SISC), a project put in place by the Secretary of Security of Medellín which helps to design and execute public decisions of security and governance. With the goal of creating efficient alerts to prevent homicide through the use of Machine Learning in Medellín, the research provides a better understanding of which methodological approach and variables should be adopted for that.

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From the  Decodificando la Seguridad project and in alignment with Edgeland’s purpose of deepening our knowledge on questions of surveillance and governance in the territories we work in, the authors cross-referenced data provided by the Census as well as open data and satellite images. This led them to produce a first segmentation of the city which indicates the areas where attention is higher or lower when a distress call is received. Headed by Jessica Salazar Vasquez, the work of Hamilton Smith Gómez Osorio, Juliana Restrepo Tobar, Santiago Rivero Ruiz, and Andrés Felipe Rodríguez Cardona combines data with socioeconomic, demographic, and territorial analysis. The question raised, the methodology adopted, the way data was treated, and the results of the study were organized in the article ‘MODELOS DE PRIORIZACIÓN DE ATENCIÓN PARA LA PREVENCIÓN DE HOMICIDIOS’.

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