Criminality, insecurity, and legitimacy: a transdisciplinary approach

• Grant number: 22/09091-8
• Support Opportunities: Research Grants - eScience and Data Science Program - Thematic Grants
• Duration: March 01, 2023 - February 29, 2028
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Luis Gustavo Nonato
• Grantee: Luis Gustavo Nonato
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Pesquisadores principais: Marcos César Alvarez
• Associated researchers: Afonso Paiva Neto ; Alneu de Andrade Lopes ; Alvaro Jose Riascos Villegas ; Bruna Gisi Martins de Almeida ; Cibele Maria Russo Novelli ; Daielly Melina Nassif Mantovani ; Daniela Osvald Ramos ; Frederico Castelo Branco Teixeira ; Giane Silvestre ; Jose Claudio Teixeira e Silva Junior ; Leandro Alves Neves ; Marcelo Batista Nery ; Marcos Medeiros Raimundo ; Maria Gorete Marques de Jesus ; Natasha Bachini Pereira ; Pablo Emanuel Romero Almada ; Ricardo Marcondes Marcacini ; Rogério Galante Negri ; Sergio França Adorno de Abreu ; Thales Miranda de Almeida Vieira ; Victor Hugo Barella ; Vitor Souza Lima Blotta ; Wallace Correa de Oliveira Casaca

Abstract

Since the 1970s, Brazilian society has been undergoing a process of transition from military dictatorship to democracy. With this political transition, it was expected that conflicts would be progressively resolved, reducing violence. However, that didn't happen. Indeed, the transition was accompanied by an explosion of internal conflicts, much of which associated with urban crime. There is still no consensus among social scientists on the reasons that explain these trends in the evolution of crime and violence in Brazilian society, particularly in large cities. Among the explanations that emerge most frequently is the exhaustion of traditional models of security policies, which have become obsolete. Based on Data Science and Artificial Intelligence techniques, this project aims to develop innovative analytical methodologies to investigate complex phenomena associated with crime and the persistence of feelings of insecurity in the population. The study of the relationship between criminality, the feeling of insecurity, and the legitimacy of justice institutions is also the main focus of the project. Another important objective is to train human resources so that they are able to use Data Science and Artificial Intelligence techniques in the field of Human and Social Sciences (CHS), bringing new perspectives of approach and differentiated training for professionals and researchers. (AU)