2016
DOI: 10.24908/ss.v14i1.5291
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Police and the Post-9/11 Surveillance Surge: “Technological Dramas” in “the Bureaucratic Field”

Abstract: In the last decade, the United States has invested considerable resources into an expanded intelligence apparatus that extends from the hyper-secretive federal intelligence community down to the more mundane world of municipal police. This paper investigates the effects of the post-9/11 surveillance surge on state and local policing. It presents original research on interagency intelligence centers New York and New Jersey and deploys Pfaffenberger’s “technological drama” as a process animating the neoliberal c… Show more

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Cited by 9 publications
(6 citation statements)
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References 27 publications
(28 reference statements)
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“…However, as the motivations that drive police officers' data-collection practices show, the crime-mapping system became a site for labour contention. Such practices-however dishonest-can be understood as subverting responses to contemporary neoliberal bureaucratic forms of government based on performance metrics (Beer, 2016), confirming findings in previous research on related surveillance apparatuses in the context of the Global North (McQuade, 2016). Furthermore, the fostering of "data friction" through the deliberate tampering of data flows can be seen as ways to resist "technological regularization," enhance workers agency and autonomy, and exploit the system from within to reappropriate the technology in more favourable terms (Bates, 2017;McQuade, 2016).…”
Section: Data Manufacturingsupporting
confidence: 81%
See 2 more Smart Citations
“…However, as the motivations that drive police officers' data-collection practices show, the crime-mapping system became a site for labour contention. Such practices-however dishonest-can be understood as subverting responses to contemporary neoliberal bureaucratic forms of government based on performance metrics (Beer, 2016), confirming findings in previous research on related surveillance apparatuses in the context of the Global North (McQuade, 2016). Furthermore, the fostering of "data friction" through the deliberate tampering of data flows can be seen as ways to resist "technological regularization," enhance workers agency and autonomy, and exploit the system from within to reappropriate the technology in more favourable terms (Bates, 2017;McQuade, 2016).…”
Section: Data Manufacturingsupporting
confidence: 81%
“…Such practices-however dishonest-can be understood as subverting responses to contemporary neoliberal bureaucratic forms of government based on performance metrics (Beer, 2016), confirming findings in previous research on related surveillance apparatuses in the context of the Global North (McQuade, 2016). Furthermore, the fostering of "data friction" through the deliberate tampering of data flows can be seen as ways to resist "technological regularization," enhance workers agency and autonomy, and exploit the system from within to reappropriate the technology in more favourable terms (Bates, 2017;McQuade, 2016). Indeed, a few years after the crime-mapping system was implemented, officers hardly use it anymore because they simply do not trust the data they themselves have contributed to producing.…”
Section: Data Manufacturingsupporting
confidence: 81%
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“…In line with research that demonstrates how security governance is dependant on the accumulation of data that can be re-configured and re-interpreted through different data analysis practices (Amicelle and Iafolla 2017;McQuade 2016;Regan et al 2013), SITKA is an illustration of how databanking can be operationalized. The SITKA investigation pooled dispersed elements of surveillance data from across numerous policing agencies and created a list of 313 prominent activists.…”
mentioning
confidence: 88%
“… 2. Brendan McQuade (2016a, 2016b) documents the expansion of Intelligence-Led Policing (ILP) across New York State. This has involved the funding of fusion centers and implementation of crime mapping, data analysis, information sharing, and integration of police technologies. …”
mentioning
confidence: 99%