Policing, crime and 'big data'; towards a critique of the moral economy of stochastic governance.

The paper defines 'stochastic governance' as the governance of populations and territory by reference to the statistical representations of metadata. Stochastic governance aims at achieving social order through algorithmic calculation made actionable through policing and regulatory means. Stochastic...

Descripción completa

Detalles Bibliográficos
Publicado en:Crime, Law & Social Change Vol. 68; no. 1/2; pp. 1 - 16
Autores principales: Sanders, Carrie, Sheptycki, James
Formato: Artículo
Publicado: Springer Nature Sep2017
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=125327164&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 125327164
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        09254994
        CRG
      jtl: Crime, Law & Social Change
      issn: 09254994
      maglogo: N
    pubinfo:
      dt: Sep2017
      vid: 68
      iid: 1/2
      pid: 237
      pub: Springer Nature
    artinfo:
      ui:
        125327164
        10.1007/s10611-016-9678-7
      ppf: 1
      ppct: 15
      formats:
        fmt:
          @attributes:
            type: P
            size: 454KB
      tig:
        atl: Policing, crime and 'big data'; towards a critique of the moral economy of stochastic governance.
      aug:
        au:
          Sanders, Carrie
          Sheptycki, James
        affil:
          Wilfrid Laurier University , Brantford Canada
          York University , Toronto M3J 1P3 Canada
      su:
        Law enforcement
        Law enforcement -- Social aspects
        Crime prevention
        Law enforcement -- Government policy
        Law enforcement ethics
        Big data
      sug:
        subj:
          Law enforcement
          Law enforcement -- Social aspects
          Crime prevention
          Police Protection
          Other Justice, Public Order, and Safety Activities
          Law enforcement -- Government policy
          Law enforcement ethics
          Big data
      ab: The paper defines 'stochastic governance' as the governance of populations and territory by reference to the statistical representations of metadata. Stochastic governance aims at achieving social order through algorithmic calculation made actionable through policing and regulatory means. Stochastic governance aims to improve the efficiency and sustainability of populations and territory while reducing costs and resource consumption. The algorithmic administration of populations and territory has recourse to 'Big Data'. The big claim of Big Data is that it will revolutionize the governance of big cities and that, since stochastic governance is data driven, evidence-led and algorithmically analysed, it is based on morally neutral technology. The paper defines moral economy - understood to be the production, distribution, circulation and use of moral sentiments emotions and values, norms and obligations in social space - through which it advances a contribution to the critique of stochastic governance. In essence the argument is that certain technological developments in relation to policing, regulation, law and governance are taking place in the context of a neo-liberal moral economy that is shaping the social outcomes of stochastic governance. Thinking about policing in both the narrow sense of crime fighting and more broadly in its Foucaldian sense as governance, empirical manifestations of 'policing with Big Data' exhibit the hallmarks of the moral economy of neo-liberalism. This suggests that a hardening of the socio-legal and technical structures of stochastic governance has already largely taken place.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N