Exploring counterfactual antecedents to reduce criminality

Resumo

This research project developed a series of methodologies to help identifying urban, socioeconomic and space-temporal factors that lead to crime. Our research had four main pillars: (1) Hotspot analysis was used to investigate possible ways to define what is a crime hotspot, in other words, how to define the size and area of geographical area to designate resources to reduce criminality; (2) Space-temporal analysis was used to understand the space and time correlations on crime; (3) Socioeconomic analysis was used to identify the main social and economical variables that affect crime; (4) Counterfactual analysis was used to understand which variables we should change on which magnitude we should change it to reduce significantly the crime in a certain location. All of these analysis where integrated in distinct visualization tools to help users to understand and have insights about crime in order to plan actions to reduce criminality.

Ficha do documento

Tipo

Relatório

Ano

2021

Instituição

Fundação Getulio Vargas

Fonte

Repositório da FGV

Idioma

Inglês

Acesso

Não informado

Identificador

oai:repositorio.fgv.br:10438/31626

Temas

Tecnologia

Palavras-chave

ViolênciaMatemáticaTecnologiaInteligência artificialCriminalidade urbanaSegurança pública