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Predictive policing and social control in the NYPD

Grant number: 20/15150-1
Support Opportunities:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): January 01, 2022
Effective date (End): July 31, 2022
Field of knowledge:Humanities - Sociology - Other specific Sociologies
Principal Investigator:Sergio França Adorno de Abreu
Grantee:Letícia Pereira Simões Gomes
Supervisor: Natalie Patricia Byfield
Host Institution: Faculdade de Filosofia, Letras e Ciências Humanas (FFLCH). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Research place: St. John's University, United States  
Associated to the scholarship:19/02612-0 - Predictive policing, social control and racial inequality, BP.DR

Abstract

This research project is of Sociology of Violence. It aims to identify intermediate mechanisms between predictive policing and racial inequality reproduction. The research question is: how data-based technologies influence, in racial states, racial inequalities reproduction in policing practices? As for a theoretical objective, it is sought to deepen and operationalize the concept of institutional racism in public safety, as police are known for historically controlling Black communities. For empirical purposes, we highlight the analysis of predictive policing, considering how important it presents itself within the institutional framework, how its operationalization takes place, as well as it interacts, directly and indirectly, to the race category. In order to understand the enactment of such technologies, it is particularly important to observe their context and the practices that surround it. That shall be accomplished through the collection and analysis of qualitative material, be it from direct observation or semi-structured interviews, as well as document analysis from official sources. Our privileged case study will be the New York Police Department, well-known for relying on multiple data-based systems and for experimenting with predictive analytics in police practices (such as the CompStat, and the Domain Awareness System). (AU)

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