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Policing and Society
An International Journal of Research and Policy
Volume 33, 2023 - Issue 3
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Articles

Enacting criminal futures: data practices and crime prevention

Pages 333-347 | Received 31 Mar 2022, Accepted 05 Aug 2022, Published online: 24 Aug 2022

References

  • Ackroyd, S., et al., 1992. New technology and practical police work. Buckingham/Philadelphia: Open University Press.
  • Amicelle, A., Aradau, C., and Jeandesboz, J., 2015. Questioning security devices: performativity, resistance, politics. Security Dialogue, 46 (4), 293–306.
  • Amoore, L., and Piotukh, V., 2016. Algorithmic life: calculative devices in the age of big data. Milton Park/New York: Routledge.
  • Andrejevic, M., 2018. Data collection without limits: automated policing and the politics of framelessness. In: A Završnik, ed. Big Data, crime and social control. Milton Park/New York: Routledge, 93–107.
  • Balogh, D.A., 2016. Near repeat-prediction mit PRECOBS bei der stadtpolizei zürich. Kriminalistik, 5, 335–341.
  • Bates, J., Lin, Y.-W., and Goodale, P., 2016. Data journeys: capturing the socio-material constitution of data objects and flows. Big Data & Society, 3 (2), 1–12.
  • Batini, C., and Scannapieca, M., 2006. Data quality: concepts, methodologies and techniques. Berlin/Heidelberg: Springer.
  • Beattie, R.H., 1960. Criminal statistics in the United States. 1960. The Journal of Criminal Law, Criminology, and Police Science, 51 (May-June), 49–65.
  • Beck, C., and McCue, C., 2009. Predictive policing: what can we learn from Wal-Mart and Amazon about fighting crime in a recession? The Police Chief, 76 (11), 18–24.
  • Bennett Moses, L., and Chan, J., 2018. Algorithmic prediction in policing: assumptions, evaluation, and accountability. Policing and Society, 28 (7), 806–822.
  • Biderman, A.D., and Reiss, A.J., 1967. On exploring the “dark figure” of crime. The ANNALS of the American Academy of Political and Social Science, 374 (1), 1–15.
  • Black, D.J., 1970. Production of crime rates. American Sociological Review, 35 (4), 733–748.
  • Bowker, G.C., and Star, S.L., 1999. Sorting things out: classification and Its consequences. Cambridge: MIT Press.
  • Bratton, W. J., and Malinowski, S. W., 2008. Police performance management in practice: taking COMPSTAT to the next level. Policing: A Journal of Policy and Practice, 2 (3), 259–265.
  • Brayne, S., 2021. Predict and surveil: data, discretion, and the future of policing. Oxford: Oxford University Press.
  • Chan, J., et al., 2001. E-Policing: the impact of information technology on police practices. Brisbane: Criminal Justice Commission.
  • Chan, J., et al., 2022. Datafication and the practice of intelligence production. Big Data & Society, 9 (1), 1–13.
  • Christin, A., 2017. Algorithms in practice: comparing web journalism and criminal justice. Big Data & Society, 4 (2), 1–14.
  • Coleman, C., and Moynihan, J., 1996. Understanding crime data: haunted by the dark figure. Buckingham/Philadelphia: Open University Press.
  • Cope, N., 2008. Interpretation for action?': Definitions and potential of crime analysis for policing. In: T Newburn, ed. Handbook of policing. Cullompton/Portland: Willan Publishing, 404–429.
  • Dalton, C., and Thatcher, J. 2014. What Does a Critical Data Studies Look Like, and Why Do We Care? Available at https://www.societyandspace.org/articles/what-does-a-critical-data-studies-look-like-and-why-do-we-care (accessed 30 April 2020).
  • Desrosières, A., 2002. The politics of large numbers: A history of statistical reasoning. Harvard: Harvard University Press.
  • Edwards, P.N., 2010. A vast machine: computer models, climate data, and the politics of global warming. Cambridge: MIT Press.
  • Egbert, S., 2019. Predictive policing and the platformization of police work. Surveillance & Society, 17 (1/2), 83–88.
  • Egbert, S., and Krasmann, S., 2020. Predictive policing: not yet, but soon preemptive? Policing and Society, 30 (8), 905–919.
  • Egbert, S., and Leese, M., 2021. Criminal futures: predictive policing and everyday police work. London/New York: Routledge.
  • Ericson, R.V., and Haggerty, K.D., 1997. Policing the risk society. Oxford: Clarendon Press.
  • Ericson, R.V., and Shearing, C., 1986. The scientification of police work. In: G Böhme, and N Stehr, eds. The knowledge society: the growing impact of scientific knowledge on social relations. Dordrecht: Reidel, 129–159.
  • Farrell, G., 1995. Preventing repeat victimization. Crime and Justice, 19, 469–534.
  • Farrington, D.P., and Burrows, J.N., 1993. Did shopliftig really decrease? The British Journal of Criminology, 33 (1), 57–69.
  • Ferguson, A.G., 2017. The rise of Big data policing: surveillance, race, and the future of Law enforcement. New York: New York University Press.
  • Gitelman L (ed.) 2013. “Raw data” is an oxymoron, Cambridge: MIT Press.
  • Guerry, A.-M., 1833. Essai sur la statistique morale de la France: précédé d’un rapport à l’Académie des sciences. Paris: Chez Crochard.
  • Haggerty, K.D., 2001. Making crime count. Toronto: University of Toronto Press.
  • Hannah-Moffat, K., 2019. Algorithmic risk governance: Big Data analytics, race and information activism in criminal justice debates. Theoretical Criminology, 23 (4), 453–470.
  • Harper, R.R., 1991. The computer game: detectives, suspects, and technology. The British Journal of Criminology, 31 (3), 292–307.
  • Hope, T., 2013. What do crime statistics tell us? In: C. Hale, K. Hayward, A. Wahidin, and E. Wincup, eds. Criminology. 3rd Edition. Oxford: Oxford University Press, 43–64.
  • Huey, L., Ferguson, L., and Koziarski, J., 2021. The irrationalities of rationality in police data processes. Policing and Society, doi:10.1080/10439463.2021.2007245.
  • Kaufmann, M., 2020. Vocations, visions and vitalities of data analysis. An introduction. Information, Communication & Society, 23 (14), 1981–1995.
  • Kaufmann, M., Egbert, S., and Leese, M., 2019. Predictive policing and the politics of patterns. The British Journal of Criminology, 59 (3), 674–692.
  • Kaufmann, M., and Leese, M., 2021. Information In-formation: algorithmic policing and the life of data. In: V Badalič, and A Završnik, eds. Automating crime prevention, surveillance, and military operations. Cham: Springer, 69–83.
  • Kitchin, R., 2014. The data revolution: Big data, open data, data infrastructures & their consequences. Los Angeles/London/New Delhi/Singapore/Washington DC: Sage.
  • Kitchin, R., 2021. Data lives: How data are made and shape our world. Bristol: Bristol University Press.
  • Law, J., and Urry, J., 2004. Enacting the social. Economy and Society, 33 (3), 390–410.
  • Loftin, C., et al., 2014. The accuracy of supplementary homicide report rates for large U.S. cities. Homicide Studies, 19 (1), 6–27.
  • MacDonald, Z., 2002. Official crime statistics: their use and interpretation. The Economic Journal, 112 (477), F85–F106.
  • Maguire, M., 2012. Criminal statistics and the construction of crime. In: M Maguire, R Morgen, and R Reiner, eds. The Oxford handbook of criminology. Oxford: Oxford University Press, 206–244.
  • Maltz, M.D., 1977. Crime statistics: A historical perspective. Crime & Delinquency, 23 (1), 32–40.
  • Maltz, M.D., 1999. Bridging gaps in police crime data: A discussion paper from the BJS fellows program. U.S. Department of Justice.
  • Manning, P.K., 2008. The technology of policing: crime mapping, information technology, and the rationality of crime control. New York/London: New York University Press.
  • McCabe, S., and Sutcliffe, F., 1978. Defining crime: A study of police decisions. Oxford: Blackwell.
  • McGuire, M.R., 2021. The laughing policebot: automation and the end of policing. Policing and Society, 31 (1), 20–36.
  • Nolan, J.J., Haas, S.M., and Napier, J.S., 2011. Estimating the impact of classification error on the “statistical accuracy” of uniform crime reports. Journal of Quantitative Criminology, 27 (4), 497–519.
  • Okon, G., 2015. Vorhersagen von Straftaten – Vision oder Wirklichkeit? arcAKTUELL, 4, 22–23.
  • Pelizza, A., 2016. Disciplining change, displacing frictions: two structural dimensions of digital circulation across land registry database integration. Tecnoscienza: Italian Journal of Science and Technology Studies, 7 (2), 35–60.
  • Pelizza, A., 2020. Processing alterity, enacting Europe: migrant registration and identification as co-construction of individuals and polities. Science, Technology, & Human Values, 45 (2), 262–288.
  • Perry, W.L., et al., 2013. Predictive policing: The role of crime forecasting in Law enforcement operations. Santa Monica: RAND Corporation.
  • Pickering, A., 2001. Practice and posthumanism: social theory and a history of agency. In: T.R. Schatzki, K. Knorr Cetina, and E. von Savigny, eds. The practice turn in contemporary theory. London/New York: Routledge, 172–183.
  • Polvi, N., et al., 1991. The time course of repeat burglary victimization. The British Journal of Criminology, 31 (4), 411–414.
  • Quetelet, L.A.J., 1842. A treatise on man and the development of his faculties. Edinburgh: W. and R. Chambers.
  • Ratcliffe, J., Taylor, R.B., and Fisher, R., 2020. Conflicts and congruencies between predictive policing and the patrol officer’s craft. Policing and Society, 30 (6), 639–655.
  • Ruppert, E., 2011. Population objects: interpassive subjects. Sociology, 45 (2), 218–233.
  • Ruppert, E., 2012. The governmental topologies of database devices. Theory, Culture & Society, 29 (4-5), 116–136.
  • Ruppert, E., 2013. Rethinking empirical social sciences. Dialogues in Human Geography, 3 (3), 268–273.
  • Ruppert, E., Isin, E., and Bigo, D., 2017. Data politics. Big Data & Society, 4 (2), 1–7.
  • Ruppert, E., Law, J., and Savage, M., 2013. Reassembling social science methods: the challenge of digital devices. Theory, Culture & Society, 30 (4), 22–46.
  • Ruppert, E., and Scheel, S., 2021. Data practices. In: E Ruppert, and S Scheel, eds. Data practices: making up a European people. London/New York: Goldsmiths Press/MIT Press, 29–48.
  • Sanders, C.B., and Condon, C., 2017. Crime analysis and cognitive effects: the practice of policing through flows of data. Global Crime, 18 (3), 237–255.
  • Sandhu, A., and Fussey, P., 2021. The ‘uberization of policing’? How police negotiate and operationalise predictive policing technology. Policing and Society, 31 (1), 66–81.
  • Santos, R.B., 2013. Crime analysis with crime mapping. Thousand Oaks/London/New Delhi/Singapore: Sage.
  • Savage, M., 2013. The ‘social life of methods’: a critical introduction. Theory, Culture & Society, 30 (4), 3–21.
  • Schatzki, T.R., 2001. Introduction: practice theory. In: T R Schatzki, K Knorr Cetina, and E von Savigny, eds. The practice turn in contemporary theory. London/New York: Routledge, 10–23.
  • Schatzki, T.R., 2002. The site of the social: a philosophical account of the constitution of social life and change. University Park: Pennsylvania State University Press.
  • Scheel, S., 2020. Biopolitical bordering: enacting populations as intelligible objects of government. European Journal of Social Theory, 23 (4), 571–590.
  • Scheel, S., Ruppert, E., and Ustek-Spilda, F., 2019. Enacting migration through data practices. Environment and Planning D: Society and Space, 37 (4), 579–588.
  • Schweer, T., 2015. Vor dem Täter am Tatort” - Musterbasierte Tatortvorhersagen am Beispiel des Wohnungseinbruchs. Die Kriminalpolizei, 32 (1), 13–16.
  • Schweer T., 2018. Predictive policing mit PRECOBS. In Institut für Versicherungswirtschaft der Universität St. Gallen (ed.) St. Galler Trendmonitor für Risiko- und Finanzmärkte. Produkt- und Serviceinformationen 40 (1). St. Gallen: Universität St. Gallen, 12–14.
  • Scott, J.C., 1998. Seeing like a state: how certain schemes to improve the human condition have failed. New Haven/London: Yale University Press.
  • Skogan, W.G., 1974. The validity of official crime statistics: an empirical investigation. Social Science Quarterly, 55 (1), 25–38.
  • Townsley, M., Homel, R., and Chaseling, J., 2003. Infectious burglaries: a test of the near repeat hypothesis. The British Journal of Criminology, 43 (3), 615–633.
  • Varano, S.P., et al., 2009. Constructing crime: neighborhood characteristics and police recording behavior. Journal of Criminal Justice, 37 (6), 553–563.
  • Walsh, W.F., 2001. COMPSTAT: an analysis of an emerging police managerial paradigm. Policing: An International Journal of Police Strategies & Management, 24 (3), 347–362.
  • Wang, R.Y., Ziad, M., and Lee, Y.W., 2002. Data quality. New York/Boston/Dordrecht/London/Moscow: Kluwer Academic Publishers.
  • Ward, T., Durrant, R., and Dixon, L., 2021. The classification of crime: towards pluralism. Aggression and Violent Behavior, 59, 1–6.
  • Weston, C., Bennett-Moses, L., and Sanders, C., 2020. The changing role of the law enforcement analyst: clarifying core competencies for analysts and supervisors through empirical research. Policing and Society, 30 (5), 532–547.
  • Wilson, D., 2018. Algorithmic patrol: the futures of predictive policing. In: A Završnik, ed. Big Data, crime and social control. London/New York: Routledge, 108–127.