The rise of big data policing : surveillance, race, and the future of law enforcement /

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The consequences of big data and algorithm-driven policing and its impact on law enforcement in a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked c...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Ferguson, Andrew G. (Author)
Format: Electronic eBook
Language:Inglés
Published: New York : New York University Press, [2017]
Subjects:
Law enforcement > United States > Data processing.
Police > United States > Data processing.
Big data > United States.
Data mining in law enforcement > United States.
Electronic surveillance > United States.
Criminal statistics > United States.
Discrimination in law enforcement > United States.
Racial profiling in law enforcement > United States.
Lois > Application > États-Unis > Informatique.
Données volumineuses > États-Unis.
Exploration de données (Informatique) dans l'application des lois > États-Unis.
Surveillance électronique > États-Unis.
Statistiques criminelles > États-Unis.
Discrimination dans l'application des lois > États-Unis.
Profilage ethnique > États-Unis.
BUSINESS & ECONOMICS > Infrastructure.
SOCIAL SCIENCE > General.
Big data
Criminal statistics
Data mining in law enforcement
Discrimination in law enforcement
Electronic surveillance
Law enforcement > Data processing
Police > Data processing
Racial profiling in law enforcement
United States
Online Access:Texto completo
Table of Contents:
  • Introduction : big data policing
  • Big data's watchful eye : the rise of data surveillance
  • Data is the new black? : the lure of data-driven policing
  • Who we police : person-based predictive targeting
  • Where we police : place-based predictive policing
  • When we police: real-time surveillance and investigation
  • How we police : datamining digital haystacks
  • "Black data?" : distortions of race, transparency, and law
  • "Blue data?" : policing data
  • "Bright data?" : risk and remedy
  • No data : filling data holes
  • Conclusion : questions for the future

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