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15 - Advocate

Predictive Policing

from Part VIII - Predictive Policing

Published online by Cambridge University Press:  09 August 2019

David Weisburd
Affiliation:
George Mason University, Virginia
Anthony A. Braga
Affiliation:
Northeastern University, Boston
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Summary

At the First Predictive Policing Symposium held in Los Angeles in 2009, Assistant Attorney General Laurie Robinson noted, “Law enforcement leaders are using predictive techniques in a variety of forms, but we don’t necessarily have a handle on all of them.” Predictive policing is starting to demonstrate modest positive results; however it is still a nascent field where the dimensions of predictive policing are still not clear. It comprises multiple elements and often means different things to different people.

Type
Chapter
Information
Police Innovation
Contrasting Perspectives
, pp. 347 - 365
Publisher: Cambridge University Press
Print publication year: 2019

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References

ACLU. (2016, August 31). Predictive Policing Today: A Shared Statement of Civil Rights Concerns, 2.Google Scholar
Berk, R. (2008). Forecasting methods in crime and justice. Annual Review of Law and Social Science, 4, 219238.CrossRefGoogle Scholar
Berk, R., Sherman, L. W., Barnes, G., Kurtz, E., & Ahlman, L. (2009). Forecasting murder within a population of probationers and parolees: A high stakes application of statistical learning. Journal of the Royal Statistical Society, Series A, 172(1), 191211.CrossRefGoogle Scholar
Braga, A. A., Papachristos, A., & Hureau, D. (2012). Hot Spots Policing Effects on Crime. Campbell Systematic Reviews: Campbell Collaboration.CrossRefGoogle Scholar
Braga, A. A., & Weisburd, D. L. (2012). The Effects of Pulling Levers Focused Deterrence Strategies on Crime. Campbell Systematic Reviews: Campbell Collaboration.Google Scholar
Caplan, J. M., Kennedy, L. W., & Miller, J. (2011). Risk terrain modeling: Brokering criminological theory and GIS methods for crime forecasting. Justice Quarterly, 28(2), 381.Google Scholar
Chainey, S., & Ratcliffe, J. H. (2005). GIS and Crime Mapping. London: John Wiley and Sons.Google Scholar
Drawve, G. (2016). A metric comparison of predictive hot spot techniques and RTM. Justice Quarterly, 33(3), 369397.Google Scholar
Farrington, D. P. (1987). Predicting individual crime rates. Crime and Justice, 9, 55101.Google Scholar
Felson, M. (1987). Routine activities and crime prevention in the developing metropolis. Criminology, 25(4), 911932.CrossRefGoogle Scholar
Galiani, S., & Jaitman, L. (2017). Predictive policing in a developing country: Experimental evidence from two randomized controlled trials. Washington, DC: Inter-American Development Bank. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3009748.Google Scholar
Gorr, W., Olligschlaeger, A., & Thompson, Y. (2003). Short-term forecasting of crime. International Journal of Forecasting, 19(4), 594.Google Scholar
Gorr, W. L., & Lee, Y. (2015). Early warning system for temporary crime hot spots. Journal of Quantitative Criminology, 31(1), 2547.Google Scholar
Innes, M. (2004). Reinventing tradition? Reassurance, neighbourhood security and policing. Criminal Justice, 4(2), 151171.Google Scholar
Johnson, S. D., Bernasco, W., Bowers, K. J., Elffers, H., Ratcliffe, J. H., Rengert, G. F., & Townsley, M. (2007). Space-time patterns of risk: A cross national assessment of residential burglary victimization. Journal of Quantitative Criminology, 23(3), 201219.CrossRefGoogle Scholar
Johnson, S. D., Bowers, K. J., Birks, D., & Pease, K. (2009). Predictive mapping of crime by ProMap: Accuracy, units of analysis and the environmental backcloth. In Weisburd, D., Bernasco, W., & Bruinsma, G. J. N. (eds.), Putting Crime in Its Place: Units of Analysis in Geographic Criminology (pp. 171198). New York: Springer-Verlag.Google Scholar
Kelling, G. L., Pate, T., Dieckman, D., & Brown, C. E. (1974). The Kansas City Preventative Patrol Experiment: A Summary Report. Washington, DC: The Police Foundation.Google Scholar
Kennedy, L. W., Caplan, J. M., & Piza, E. (2011). Risk clusters, hotspots, and spatial intelligence: Risk terrain modeling as an algorithm for police resource allocation strategies. Journal of Quantitative Criminology, 27(3), 362.Google Scholar
Lee, Y., Eck, J. E., O, S., & Martinez, N. N. (2017). How concentrated is crime at places? A systematic review from 1970 to 2015. Crime Science, 6(6), 116.Google Scholar
Macbeth, E., & Ariel, B. (2017). Place-based statistical versus clinical predictions of crime hot spots and harm locations in Northern Ireland. Justice Quarterly, 134.Google Scholar
Martinez, N. N., Lee, Y., Eck, J. E., & O, S. (2017). Ravenous wolves revisited: A systematic review of offending concentration. Crime Science, 6(10), 116.Google Scholar
Mohler, G. O., Short, M. B., Brantingham, P. J., Schoenberg, F. P., & Tita, G. E. (2011). Self-exciting point process modeling of crime. Journal of the American Statistical Association, 106(493), 108.Google Scholar
Mohler, G. O., Short, M. B., Malinowski, S., Johnson, M., Tita, G. E., Bertozzi, A. L., & Brantingham, P. J. (2015). Randomized controlled field trials of predictive policing. Journal of the American Statistical Association, 110(512), 13991411.Google Scholar
Moreto, W. D., Piza, E. L., & Caplan, J. M. (2014). “A plague on both your houses?”: Risks, repeats and reconsiderations of urban residential burglary. Justice Quarterly, 31(6), 11021126.Google Scholar
National Research Council. (2004). Fairness and Effectiveness in Policing: The Evidence Skogan, W., & Frydl, K. (eds.). Washington, DC: Committee to Law and Justice, Division of Behavioral and Social Sciences and Education.Google Scholar
Perry, W. L., McInnis, B., Price, C. C., Smith, S. C., & Hollywood, J. S. (2013). Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations. Washington, DC: Rand Corporation.Google Scholar
Peterson, R. D., & Krivo, L. J. (2010). Divergent Social Worlds: Neighborhood Crime and the Racial-Spatial Divide. New York: Russell Sage.Google Scholar
Ratcliffe, J. H. (2012). The spatial extent of criminogenic places: A change-point regression of violence around bars. Geographical Analysis, 44(4), 302320.Google Scholar
Ratcliffe, J. H. (2014). What is the future … of predictive policing? Translational Criminology, (Spring), 45.Google Scholar
Ratcliffe, J.H., & Kikuchi, G. (in press). Harm-focused offender triage and prioritization: a Philadelphia case study. Policing: An International Journal. Google Scholar
Ratcliffe, J. H., & McCullagh, M. J. (2001). Chasing ghosts? Police perception of high crime areas. British Journal of Criminology, 41(2), 330341.Google Scholar
Ratcliffe, J. H., & Rengert, G. F. (2008). Near repeat patterns in Philadelphia shootings. Security Journal, 21(1–2), 5876.Google Scholar
Ratcliffe, J. H., Taniguchi, T., Groff, E. R., & Wood, J. D. (2011). The Philadelphia Foot Patrol Experiment: A randomized controlled trial of police patrol effectiveness in violent crime hotspots. Criminology, 49(3), 795831.Google Scholar
Ratcliffe, J. H., & Taylor, R. B. (2017). The Philadelphia Predictive Policing Experiment: Summary of the Experimental Design. Philadelphia, PA: Temple University. bit.ly/CSCS_3PE.Google Scholar
Ratcliffe, J. H., Taylor, R. B., & Askey, A. P. (2017). The Philadelphia Predictive Policing Experiment: Effectiveness of the Prediction Models. Philadelphia, PA: Temple University. bit.ly/CSCS_3PE.Google Scholar
Ratcliffe, J. H., Taylor, R. B., Askey, A. P., Grasso, J., & Fisher, R. (2017). The Philadelphia Predictive Policing Experiment: Impacts of Police Cars Assigned to High Crime Grids. Philadelphia, PA: Temple University. bit.ly/CSCS_3PE.Google Scholar
Reyes, J. (2016, September 16). Philadelphia is grappling with the prospect of a racist computer algorithm. Technically Philly. Retrieved from https://technical.ly/philly/2016/09/16/jails-risk-assessment-richard-berk/.Google Scholar
Rosenbaum, D. P. (2006). The limits of hot spots policing. In Weisburd, D., & Braga, A. A. (eds.), Police Innovation: Contrasting Perspectives (pp. 245263). New York: Cambridge University Press.Google Scholar
Rummens, A., Hardyns, W., & Pauwels, L. (2017). The use of predictive analysis in spatiotemporal crime forecasting: Building and testing a model in an urban context. Applied Geography, 86, 255261.Google Scholar
Scott, M. S. (2017). Focused deterrence of high-risk individuals (13). Problem-Oriented Guides for Police: Response Guides Series: Washington, DC.Google Scholar
Sherman, L. W., Gartin, P., & Buerger, M. E. (1989). Hot spots of predatory crime: Routine activities and the criminology of place. Criminology, 27(1), 2755.Google Scholar
Sherman, L. W., & Weisburd, D. (1995). General deterrent effects of police patrol in crime “hot spots”: A randomized, controlled trial. Justice Quarterly, 12(4), 625648.Google Scholar
Sherman, L. W., Williams, S., Ariel, B., Strang, L. R., Wain, N., Slothower, M., & Norton, A. (2014). An integrated theory of hot spots patrol strategy: Implementing prevention by scaling up and feeding back. Journal of Contemporary Criminal Justice, 30(2), 95112.Google Scholar
Taylor, B., Koper, C. S., & Woods, D. J. (2011). A randomized controlled trial of different policing strategies at hot spots of violent crime. Journal of Experimental Criminology, 7(2), 149181.Google Scholar
Taylor, R. B., Ratcliffe, J. H., & Perenzin, A. (2015). Can we predict long-term community crime problems? The estimation of ecological continuity to model risk heterogeneity. Journal of Research in Crime and Delinquency, 52(5), 635657.Google Scholar
Townsley, M., Homel, R., & Chaseling, J. (2003). Infectious burglaries: A test of the near repeat hypothesis. British Journal of Criminology, 43(3), 615633.CrossRefGoogle Scholar
Weisburd, D. (2015). The law of crime concentration and the criminology of place. Criminology, 53(2), 133157.Google Scholar
Weisburd, D. (2016). Does hot spots policing inevitably lead to unfair and abusive police practices, or can we maximize both fairness and effectiveness in the new proactive policing? University of Chicago Legal Forum, Article 16.Google Scholar
Weisburd, D., & Eck, J. (2004). What can police do to reduce crime, disorder, and fear? The Annals of the American Academy of Political and Social Science, 593(1), 4365.Google Scholar
Weisburd, D., & Majmundar, M. K. (eds.). (2018). Proactive Policing: Effects on Crime and Communities. Washington, DC: National Academies of Sciences Consensus Study Report.Google Scholar

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