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CRIME FORECASTERS.

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Bibliographic Details
Title: CRIME FORECASTERS.
Authors: Hvistendahl, Mara (AUTHOR)
Source: Science (pre-March 2025). 9/30/2016, Vol. 353 Issue 6307, p1484-1487. 4p. 2 Color Photographs, 1 Diagram.
Subjects: Predictive policing, Crime prevention, Pittsburgh (Pa.). Bureau of Police, Big data -- Social aspects, Algorithms -- Social aspects, Police & minorities, McLay, Cameron, Twenty-first century, Social history
Geographic Terms: Pittsburgh (Pa.), United States
Abstract: The article discusses the American police's use of what is referred to as predictive policing in crime forecasting and crime prevention, including the role that algorithms and big data play in this regard. An overview of the Pittsburgh, Pennsylvania Police Department's use of predictive policing to reduce crime is provided. Pittsburgh Police Chief Cameron McLay's efforts to improve the police's relations with minorities is discussed.
Database: Psychology and Behavioral Sciences Collection
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Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 118516553
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: CRIME FORECASTERS.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hvistendahl%2C+Mara%22">Hvistendahl, Mara</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 9/30/2016, Vol. 353 Issue 6307, p1484-1487. 4p. 2 Color Photographs, 1 Diagram.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Predictive+policing%22">Predictive policing</searchLink><br /><searchLink fieldCode="DE" term="%22Crime+prevention%22">Crime prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Pittsburgh+%28Pa%2E%29%2E+Bureau+of+Police%22">Pittsburgh (Pa.). Bureau of Police</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data+--+Social+aspects%22">Big data -- Social aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms+--+Social+aspects%22">Algorithms -- Social aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Police+%26+minorities%22">Police & minorities</searchLink><br /><searchLink fieldCode="DE" term="%22McLay%2C+Cameron%22">McLay, Cameron</searchLink><br /><searchLink fieldCode="DE" term="%22Twenty-first+century%22">Twenty-first century</searchLink><br /><searchLink fieldCode="DE" term="%22Social+history%22">Social history</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Pittsburgh+%28Pa%2E%29%22">Pittsburgh (Pa.)</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The article discusses the American police's use of what is referred to as predictive policing in crime forecasting and crime prevention, including the role that algorithms and big data play in this regard. An overview of the Pittsburgh, Pennsylvania Police Department's use of predictive policing to reduce crime is provided. Pittsburgh Police Chief Cameron McLay's efforts to improve the police's relations with minorities is discussed.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=118516553
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1126/science.353.6307.1484
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 1484
    Subjects:
      – SubjectFull: Predictive policing
        Type: general
      – SubjectFull: Crime prevention
        Type: general
      – SubjectFull: Pittsburgh (Pa.). Bureau of Police
        Type: general
      – SubjectFull: Big data -- Social aspects
        Type: general
      – SubjectFull: Algorithms -- Social aspects
        Type: general
      – SubjectFull: Police & minorities
        Type: general
      – SubjectFull: McLay, Cameron
        Type: general
      – SubjectFull: Twenty-first century
        Type: general
      – SubjectFull: Social history
        Type: general
      – SubjectFull: Pittsburgh (Pa.)
        Type: general
      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: CRIME FORECASTERS.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Hvistendahl, Mara
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          Dates:
            – D: 30
              M: 09
              Text: 9/30/2016
              Type: published
              Y: 2016
          Identifiers:
            – Type: issn-print
              Value: 00368075
          Numbering:
            – Type: volume
              Value: 353
            – Type: issue
              Value: 6307
          Titles:
            – TitleFull: Science (pre-March 2025)
              Type: main
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