Scholarship 19/10560-0 - Visualização de dados, Ciência de dados - BV FAPESP
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Visual Analysis and Engineering of Urban Features for Crime Prediction in São Paulo City

Grant number: 19/10560-0
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Start date until: August 01, 2019
End date until: July 13, 2020
Field of knowledge:Applied Social Sciences - Demography - Components of Demographic Dynamics
Principal Investigator:Sergio França Adorno de Abreu
Grantee:Erick Mauricio Gómez Nieto
Host Institution: Faculdade de Filosofia, Letras e Ciências Humanas (FFLCH). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:13/07923-7 - Center of the Study of Violence - NEV/USP, AP.CEPID

Abstract

São Paulo is the largest city in South America, as well as one of most diverse in types of crime. During last decades, its criminality rates have down considerably, probably by a combination of factors as a decline in the number of young people, a decrease of the unemployment rate, changes in law enforcement practices and strict control on firearms. However, the reasons to explain such a phenomenon are not completely clear. Looking for an understanding of these causal and consequence relationships is crucial to support government making-decision and ensure urban safety.This work proposes the development of a methodology for analyzing data from multiple contexts (e.g. socio-economic, crime records, environmental infrastructure) produced by São Paulo city with the purpose of identifying relationships/patterns/trends and including them into a predictive model that allows us to anticipate crime behavior. The partnership of the Centro de Ciências Matemáticas Aplicadas à Industria (CEMEAI-USP) and Núcleo de Estudos da Violência (NEV-USP), both at Universidade de Sao Paulo is the fundamental key for this study due to the interaction with experts in mathematical and computational sciences in one side, and in sociology and urban geography in the other, bring us the opportunity to assess our results in both fields of study.The effectiveness and usefulness of the proposed methodology will be demonstrated in case studies involving real data and validated by domain experts and by the capability to identify phenomena described in the literature.

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GARCIA-SANCHEZ, EFRAIN; BENETTI, PEDRO ROLO; HIGA, GUSTAVO LUCAS; ALVAREZ, MARCOS CESAR; GOMEZ-NIETO, ERICK. Political discourses, ideologies, and online coalitions in the Brazilian Congress on Twitter during 2019. NEW MEDIA & SOCIETY, . (13/07923-7, 19/11114-3, 19/10560-0, 19/10046-4)
MILON-FLORES, DANIELA F.; OCHOA-LUNA, JOSE; GOMEZ-NIETO, ERICK; IEEE. Generating audiovisual summaries from literary works using emotion analysis. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., . (19/10560-0)
GARCIA-ZANABRIA, GERMAIN; GOMEZ-NIETO, ERICK; SILVEIRA, JAQUELINE; POCO, JORGE; NERY, MARCELO; ADORNO, SERGIO; NONATO, LUIS G.; IEEE. Mirante: A visualization tool for analyzing urban crimes. 2020 33RD SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2020), v. N/A, p. 8-pg., . (17/05416-1, 19/04434-1, 13/07375-0, 19/10560-0)
GARCIA-SANCHEZ, EFRAIN; BENETTI, PEDRO ROLO; HIGA, GUSTAVO LUCAS; ALVAREZ, MARCOS CESAR; GOMEZ-NIETO, ERICK. Political discourses, ideologies, and online coalitions in the Brazilian Congress on Twitter during 2019. NEW MEDIA & SOCIETY, v. 25, n. 5, p. 23-pg., . (19/10560-0, 19/10046-4, 19/11114-3, 13/07923-7)

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