Predictions put into practice: a quasi-experimental evaluation of Chicago’s predictive policing pilot
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Addressing partial interference mostly required consideration of how the same interventions and conditions could be applied consistently and uniformly within all treated and untreated groups.
“This mostly required consideration of how the same interventions and conditions could be applied consistently and uniformly within all treated and untreated groups (Ariel et al., 2019;Hunt et al., 2014;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
Predictive social network analyses were applied by Saunders et al. (2016) to identify individuals at a higher risk of gun violence.
“Predictive social network analyses were applied by Saunders et al. (2016) to identify individuals at a higher risk of gun violence.”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
Some included studies employed offender subject lists to identify or predict prolific offenders and gather intelligence to target resources effectively.
“Some studies employed offender subject lists to identify or predict prolific offenders and gather intelligence to target resources effectively (e.g., Groff et al., 2015;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
These messages gave strong warnings about the increased risks associated with offending or re-offending and were considered to be forms of focused and vicarious deterrence.
“These messages gave strong warnings about the increased risks associated with offending or re-offending and were considered to be forms of focused and vicarious deterrence (Ariel et al., 2019;Santos & Santos, 2016;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
There is a dearth of evidence on ILP's overall effectiveness.
“However, there are inherent challenges in evaluating ILP's effectiveness, as it encompasses a policing paradigm rather than a specific program or intervention, with the result that there is a dearth of evidence on its overall effectiveness (Ratcliffe, 2021;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
ILP encompasses a policing paradigm rather than a specific program or intervention.
“However, there are inherent challenges in evaluating ILP's effectiveness, as it encompasses a policing paradigm rather than a specific program or intervention, with the result that there is a dearth of evidence on its overall effectiveness (Ratcliffe, 2021;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
The review found one study that specifically applied the 3-i model to structure the evaluation of a person-based predictive policing model (Saunders et al., 2016).
“although we did find one study that specifically applied the 3-i model to structure the evaluation of a person-based predictive policing model (Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
Deterrence mainly includes communicating deterrent messages of 'zero-tolerance' to deter potential future offenders.
“This mainly includes communicating deterrent messages of 'zero-tolerance' to deter potential future offenders (Ariel et al., 2019;Saunders et al., 2016).”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
Saunders et al. (2016) argued that there needs to be practical reasoning and guidance from police command staff to frontline officers on how to effectively employ intelligence in practice.
“In this context, Saunders et al. (2016), who conducted interviews with police officers on the use of tactical or strategic intelligence products, argued that there needs to be practical reasoning and guidance from police command staff to frontline officers on how to effectively employ intelligence in practice.”
From ‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing (2024) · cites this paper as Saunders et al., 2016
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241 · see citing works
Robust Regression: Asymptotics, Conjectures and Monte Carlo
Huber, P. J. (1973) · The Annals of Statistics · doi:10.1214/aos/1176342503 · Cited by 2,378 · see citing works
Serious and Violent Juvenile Offenders: Risk Factors and Successful Interventions
Janson, C.-G., Loeber, R., & Farrington, D. P. (1999) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2655346 · Cited by 1,893 · see citing works
A META‐ANALYSIS OF THE PREDICTORS OF ADULT OFFENDER RECIDIVISM: WHAT WORKS!*
Gendreau, P., Little, T., & Goggin, C. (1996) · Criminology · doi:10.1111/j.1745-9125.1996.tb01220.x · Cited by 1,856 · see citing works
Cornish, D. B., & Clarke, R. V. (2014) · Cited by 1,781 · see citing works
Nobel Lecture: The Economic Way of Looking at Behavior
Becker, G. S. (1993) · Journal of Political Economy · doi:10.1086/261880 · Cited by 1,619 · see citing works
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Zikopoulos, P., & Eaton, C. (2011) · Cited by 1,482 · see citing works
Grove, W. M., & Meehl, P. E. (1996) · Psychology, Public Policy, and Law · doi:10.1037/1076-8971.2.2.293 · Cited by 1,457 · see citing works
Criminal Careers and "Career Criminals,"
National Research Council (1986) · National Academies Press eBooks · doi:10.17226/922 · Cited by 1,336 · see citing works
McCaffrey, D. F., Ridgeway, G., & Morral, A. R. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.4.403 · Cited by 1,317 · see citing works
Kang, J. D. Y., & Schafer, J. L. (2007) · Statistical Science · doi:10.1214/07-sts227 · Cited by 1,259 · see citing works
The Specific Deterrent Effects of Arrest for Domestic Assault
Sherman, L. W., & Berk, R. A. (1984) · American Sociological Review · doi:10.2307/2095575 · Cited by 1,249 · see citing works
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Linoff, G. S., & Berry, M. J. (2004) · Cited by 1,240 · see citing works
Violent Offenders: Appraising and Managing Risk
Heilbrun, K. (2000) · Psychiatric Services · doi:10.1176/appi.ps.51.3.395 · Cited by 1,210 · see citing works
The base-rate fallacy in probability judgments
Bar‐Hillel, M. (1980) · Acta Psychologica · doi:10.1016/0001-6918(80)90046-3 · Cited by 1,184 · see citing works
Doubly robust estimation of causal effects
Funk, M. J., Westreich, D., Wiesen, C., Stürmer, T., Brookhart, M. A., & Davidian, M. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwq439 · Cited by 1,158 · see citing works
Applied Time Series Analysis for the Social Sciences.
Berk, R. A., McCleary, R., & Hay, R. A. (1981) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2067244 · Cited by 1,047 · see citing works
General deterrent effects of police patrol in crime “hot spots”: A randomized, controlled trial
Sherman, L. W., & Weisburd, D. (1995) · Justice Quarterly · doi:10.1080/07418829500096221 · Cited by 1,029 · see citing works
Statistical Prediction Analysis
Aitchison, J., & DUNSMORE, I. R. (1975) · Cambridge University Press eBooks · doi:10.1017/cbo9780511569647 · Cited by 839 · see citing works
The efficacy of violence prediction: a meta-analytic comparison of nine risk assessment tools.
Yang, M., Wong, S. C. P., & Coid, J. (2010) · Psychological bulletin · doi:10.1037/a0020473 · Cited by 708 · see citing works
The Effects of Hot Spots Policing on Crime: An Updated Systematic Review and Meta-Analysis
Braga, A. A., Papachristos, A. V., & Hureau, D. M. (2012) · Justice Quarterly · doi:10.1080/07418825.2012.673632 · Cited by 698 · see citing works
Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations
Perry, W., McInnis, B., Price, C., Smith, S., & Hollywood, J. (2013) · doi:10.7249/rr233 · Cited by 693 · see citing works
Self-citationRatcliffe, J. H. (2016) · doi:10.4324/9781315717579 · Cited by 646 · see citing works
Murder by Structure: Dominance Relations and the Social Structure of Gang Homicide
Papachristos, A. V. (2009) · American Journal of Sociology · doi:10.1086/597791 · Cited by 562 · see citing works
Mapping Crime: Understanding Hot Spots
Eck, J. E., Chainey, S., Cameron, J. G., & Wilson, R. L. (2014) · UCL Discovery (University College London) · Cited by 548 · see citing works
Valparaiso University Law Review
Wright, R. G. (2011) · Cited by 422 · see citing works
Randomized Controlled Field Trials of Predictive Policing
Mohler, G. O., Short, M. B., Malinowski, S., Johnson, M., Tita, G. E., Bertozzi, A. L., & Brantingham, P. J. (2015) · Journal of the American Statistical Association · doi:10.1080/01621459.2015.1077710 · Cited by 381 · see citing works
Gottfredson, M. R., & Hirschi, T. (1986) · Criminology · doi:10.1111/j.1745-9125.1986.tb01494.x · Cited by 376 · see citing works
Cures That Harm: Unanticipated Outcomes of Crime Prevention Programs
McCord, J. (2003) · The ANNALS of the American Academy of Political and Social Science · doi:10.1177/0002716202250781 · Cited by 338 · see citing works
The Effects of Focused Deterrence Strategies on Crime
Braga, A. A., & Weisburd, D. L. (2011) · Journal of Research in Crime and Delinquency · doi:10.1177/0022427811419368 · Cited by 335 · see citing works
The Evidence-Based Policing Matrix
Lum, C. M., Koper, C. S., & Telep, C. W. (2010) · Journal of Experimental Criminology · doi:10.1007/s11292-010-9108-2 · Cited by 309 · see citing works
Serious and Violent Juvenile Offenders: Risk Factors and Successful Interventions
Loeber, R., Farrington, D. P., & McGlynn, M. (2000) · Behavioral Disorders · doi:10.1177/019874290002500406 · Cited by 300 · see citing works
Handbook of Positive Behavior Support
Sailor, W. S., Dunlap, G., Sugai, G. M., & Horner, R. (2008) · Issues in clinical child psychology · doi:10.1007/978-0-387-09632-2 · Cited by 292 · see citing works
Toolkit for Weighting and Analysis of Nonequivalent Groups: A tutorial for the twang package
Ridgeway, G. K., McCarey, D., Morral, A. R., Burgette, L. F., & Grin, B. A. (2014) · Cited by 274 · see citing works
Actuarial versus clinical assessments of dangerousness.
Litwack, T. R. (2001) · Psychology Public Policy and Law · doi:10.1037//1076-8971.7.2.409 · Cited by 267 · see citing works
Braga, A. A., & Weisburd, D. L. (2010) · doi:10.1093/acprof:oso/9780195341966.001.0001 · Cited by 263 · see citing works
Hot spots policing and crime prevention: A systematic review of randomized controlled trials
Braga, A. A. (2005) · Journal of Experimental Criminology · doi:10.1007/s11292-005-8133-z · Cited by 249 · see citing works
Pulling Levers: Chronic Offenders, High-Crime Settings, and a Theory of Prevention
Kennedy, D. M. (2011) · ValpoScholar (Valparaiso University) · Cited by 237 · see citing works
Social Networks and the Risk of Gunshot Injury
Papachristos, A. V., Braga, A. A., & Hureau, D. M. (2012) · Journal of Urban Health · doi:10.1007/s11524-012-9703-9 · Cited by 231 · see citing works
Cope, N. (2004) · The British Journal of Criminology · doi:10.1093/bjc/44.2.188 · Cited by 231 · see citing works
The Encyclopedia of Criminology and Criminal Justice
(2013) · Wiley eBooks · doi:10.1002/9781118517383 · Cited by 207 · see citing works
Burn, O. (1983) · Journal of Criminal Justice · doi:10.1016/0047-2352(83)90083-1 · Cited by 195 · see citing works
Policing Problem Places: Crime Hot Spots and Effective Prevention
Weisburd, D. L. (2010) · Cited by 184 · see citing works
Statistical Procedures for Forecasting Criminal Behavior
Berk, R. A., & Bleich, J. (2013) · Criminology & Public Policy · doi:10.1111/1745-9133.12047 · Cited by 180 · see citing works
Berk, R., Sherman, L., Barnes, G., Kurtz, E., & Ahlman, L. (2009) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2008.00556.x · Cited by 178 · see citing works
Crime and Disorder in Drug Hot Spots: Implications for Theory and Practice in Policing
Weisburd, D. L., & MAZEROLLE, L. G. (2000) · Police Quarterly · doi:10.1177/1098611100003003006 · Cited by 176 · see citing works
Can Intervention Rehabilitate Serious Delinquents?
Lipsey, M. W. (1999) · The Annals of the American Academy of Political and Social Science · doi:10.1177/000271629956400109 · Cited by 171 · see citing works
Evidence-Based Sentencing and the Scientific Rationalization of Discrimination
Starr, S. B. (2013) · bepress Legal Repository · Cited by 163 · see citing works
Encyclopedia of Criminology and Criminal Justice
Bruinsma, G., Weisburd, D. L., Atkin-Plunk, C. A., & Armstrong, G. (2013) · Springer eBooks · doi:10.1007/978-1-4614-5690-2 · Cited by 153 · see citing works
Intelligence-led policing and the problems of turning rhetoric into practice
Ratcliffe, J. H. (2002) · Policing & Society · doi:10.1080/10439460290006673 · Cited by 146 · see citing works
Reducing Homicide through a “Lever‐Pulling” Strategy
McGarrell, E. F., Chermak, S. M., Wilson, J. M., & Corsaro, N. A. (2006) · Justice Quarterly · doi:10.1080/07418820600688818 · Cited by 143 · see citing works
A Cautionary Note on the Use of Actuarial Risk Assessment Tools for Social Control
Silver, E., & Miller, L. L. (2002) · Crime & Delinquency · doi:10.1177/0011128702048001006 · Cited by 141 · see citing works
Can a Costly Intervention Be Cost-effective?
Foster, E. M. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.11.1284 · Cited by 140 · see citing works
CONTROLLING DRUG AND DISORDER PROBLEMS: THE ROLE OF PLACE MANAGERS*
MAZEROLLE, L. G., Kadleck, C., & Roehl, J. (1998) · Criminology · doi:10.1111/j.1745-9125.1998.tb01252.x · Cited by 123 · see citing works
Risk assessment and release decision-making: toward resolving the great debate.
Dvoskin, J. A., & Heilbrun, K. (2001) · PubMed · Cited by 113 · see citing works
SELECTIVE INCAPACITATION AND THE PROBLEM OF PREDICTION*
Auerhahn, K. (1999) · Criminology · doi:10.1111/j.1745-9125.1999.tb00502.x · Cited by 103 · see citing works
The Influence of Criminology on Criminal Law: Evaluating Arrests for Misdemeanor Domestic Violence
Sherman, L. W. (1992) · The Journal of Criminal Law and Criminology (1973-) · doi:10.2307/1143823 · Cited by 102 · see citing works
Introduction to crime forecasting
Gorr, W. L., & Harries, R. (2003) · International Journal of Forecasting · doi:10.1016/s0169-2070(03)00089-x · Cited by 101 · see citing works
Papachristos, A. V., & Kirk, D. S. (2015) · Criminology & Public Policy · doi:10.1111/1745-9133.12139 · Cited by 100 · see citing works
Are Violent Delinquents Worth Treating? A Cost–Benefit Analysis
Caldwell, M., Vitacco, M., & Rybroek, G. V. V. (2006) · Journal of Research in Crime and Delinquency · doi:10.1177/0022427805280053 · Cited by 96 · see citing works
When crime prevention harms: a review of systematic reviews
Welsh, B. C., & Rocque, M. (2014) · Journal of Experimental Criminology · doi:10.1007/s11292-014-9199-2 · Cited by 94 · see citing works
State police investigative structure and the adoption of intelligence‐led policing
Ratcliffe, J. H., & Guidetti, R. A. (2008) · Policing An International Journal · doi:10.1108/13639510810852602 · Cited by 93 · see citing works
Kovandzic, T. V., Sloan, J. J., & Vieraitis, L. M. (2004) · Justice Quarterly · doi:10.1080/07418820400095791 · Cited by 91 · see citing works
Ridgeway, G. K., & MacDonald, J. M. (2009) · Journal of the American Statistical Association · doi:10.1198/jasa.2009.0034 · Cited by 89 · see citing works
Command, Control, and Charisma: Reflections on Police Bureaucracy
Bordua, D. J., & Reiss, A. J. J. (1966) · American Journal of Sociology · doi:10.1086/224261 · Cited by 84 · see citing works
Problem-oriented policing in public housing: The Jersey City evaluation
MAZEROLLE, L. G., Ready, J. T., Terrill, W., & Waring, E. J. (2000) · Justice Quarterly · doi:10.1080/07418820000094501 · Cited by 77 · see citing works
The Effectiveness of Police Intelligence Management: A New Zealand Case Study
Ratcliffe, J. H. (2005) · Police Practice and Research · doi:10.1080/15614260500433038 · Cited by 75 · see citing works
Data mining techniques : for marketing, sales, and customer relationship management
Berry, M. J. A., & Linoff, G. S. (2004) · Thammasat University Digital Collections · Cited by 75 · see citing works
Ratcliffe, J. H. (2012) · Willan eBooks · doi:10.4324/9780203118245 · Cited by 74 · see citing works
Universal Applicability of Probation Risk‐Assessment Instruments
Wright, K. N., Clear, T. R., & DICKSON, P. (1984) · Criminology · doi:10.1111/j.1745-9125.1984.tb00291.x · Cited by 72 · see citing works
Policing Communities: What Works?
Sherman, L. W. (1986) · Crime and Justice · doi:10.1086/449127 · Cited by 71 · see citing works
Cohen, J., Gorr, W. L., & Olligschlaeger, A. (2006) · Geographical Analysis · doi:10.1111/j.1538-4632.2006.00697.x · Cited by 68 · see citing works
SELECTIVE APPREHENSION: A POLICE STRATEGY FOR REPEAT OFFENDERS*
Martin, S. E., & Sherman, L. (1986) · Criminology · doi:10.1111/j.1745-9125.1986.tb00381.x · Cited by 65 · see citing works
(2014) · Cited by 63 · see citing works
Self-citationForecasting Methods in Crime and Justice
Berk, R. A. (2008) · Annual Review of Law and Social Science · doi:10.1146/annurev.lawsocsci.3.081806.112812 · Cited by 57 · see citing works
Prediction and Classification: Legal and Ethical Issues
Tonry, M. (1987) · Crime and Justice · doi:10.1086/449140 · Cited by 52 · see citing works
Asymmetric Loss Functions for Forecasting in Criminal Justice Settings
Berk, R. A. (2010) · Journal of Quantitative Criminology · doi:10.1007/s10940-010-9098-2 · Cited by 51 · see citing works
An experimental evaluation of the phoenix repeat offender program
Abrahamse, A., Ebener, P. A., Greenwood, P. W., Fitzgerald, N., & Kosin, T. E. (1991) · Justice Quarterly · doi:10.1080/07418829100090971 · Cited by 37 · see citing works
Linking Prediction and Prevention
Ridgeway, G. K. (2013) · Criminology & Public Policy · doi:10.1111/1745-9133.12057 · Cited by 36 · see citing works
Intervening in gun markets: an experiment to assess the impact of targeted gun-law messaging
Ridgeway, G. K., Braga, A. A., Tita, G., & Pierce, G. L. (2010) · Journal of Experimental Criminology · doi:10.1007/s11292-010-9113-5 · Cited by 17 · see citing works
Chinman, M., Imm, P., & Wandersman, A. (2004) · Cited by 7 · see citing works
Forecasting and Time Series Models
Ohri, A. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4343-8_9 · Cited by 2 · see citing works
Flagged first, then by citations
2 of the 85 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
There is a blind spot in AI research
Crawford, K., & Calo, R. (2016) · Nature · doi:10.1038/538311a · Cited by 580 · see citing works
Chun, W. H. K., & Barnett, A. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/14050.001.0001 · Cited by 438 · see citing works
Predictive policing: Review of benefits and drawbacks
Meijer, A., & Wessels, M. (2019) · International Journal of Public Administration · doi:10.1080/01900692.2019.1575664 · Cited by 383 · see citing works
Criminal justice, artificial intelligence systems, and human rights
Završnik, A. (2020) · ERA Forum · doi:10.1007/s12027-020-00602-0 · Cited by 231 · see citing works
Predictive Policing and the Politics of Patterns
Kaufmann, M., Egbert, S., & Leese, M. (2018) · The British Journal of Criminology · doi:10.1093/bjc/azy060 · Cited by 170 · see citing works
Predictive policing: not yet, but soon preemptive?
Egbert, S., & Krasmann, S. (2019) · Policing & Society · doi:10.1080/10439463.2019.1611821 · Cited by 150 · see citing works
Private Accountability in an Age of Artificial Intelligence
Katyal, S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108680844.004 · Cited by 141 · see citing works
Artificial intelligence, bureaucratic form, and discretion in public service
Bullock, J., Young, M. M., & Wang, Y.-F. (2020) · Information Polity · doi:10.3233/ip-200223 · Cited by 139 · see citing works
Liable, but not in control? Ensuring meaningful human agency in automated decision-making systems
Wagner, B. (2019) · Policy & Internet · doi:10.1002/poi3.198 · Cited by 136 · see citing works
Predictable Policing: Predictive Crime Mapping and Geographies of Policing and Race
Jefferson, B. J. (2017) · Annals of the American Association of Geographers · doi:10.1080/24694452.2017.1293500 · Cited by 129 · see citing works
Egbert, S., & Leese, M. (2020) · Routledge eBooks · doi:10.4324/9780429328732 · Cited by 124 · see citing works
Predictive Policing and the Platformization of Police Work
Egbert, S. (2019) · Surveillance & Society · doi:10.24908/ss.v17i1/2.12920 · Cited by 116 · see citing works
Aradau, C., & Blanke, T. (2022) · doi:10.1093/oso/9780192859624.001.0001 · Cited by 113 · see citing works
AI Ethics in Predictive Policing: From Models of Threat to an Ethics of Care
Asaro, P. (2019) · IEEE Technology and Society Magazine · doi:10.1109/mts.2019.2915154 · Cited by 110 · see citing works
Artificial Intelligence and Law Enforcement
Rademacher, T. (2019) · Springer eBooks · doi:10.1007/978-3-030-32361-5_10 · Cited by 106 · see citing works
Mugari, I., & Obioha, E. E. (2021) · Social Sciences · doi:10.3390/socsci10060234 · Cited by 90 · see citing works
Predictive Policing for Reform? Indeterminacy and Intervention in Big Data Policing
Shapiro, A. (2019) · Surveillance & Society · doi:10.24908/ss.v17i3/4.10410 · Cited by 82 · see citing works
Predictive policing: The risks associated with risk assessment
Strikwerda, L. (2020) · The Police Journal Theory Practice and Principles · doi:10.1177/0032258x20947749 · Cited by 82 · see citing works
Dashing hopes? The predictive accuracy of domestic abuse risk assessment by police
Turner, E., Medina, J., & Brown, G. (2019) · The British Journal of Criminology · doi:10.1093/bjc/azy074 · Cited by 78 · see citing works
Hälterlein, J. (2021) · Big Data & Society · doi:10.1177/20539517211003118 · Cited by 76 · see citing works
The Philadelphia predictive policing experiment
Ratcliffe, J. H., Taylor, R. B., Askey, A. P., Thomas, K., Grasso, J., Bethel, K. J., Fisher, R., & Koehnlein, J. (2021) · Journal of Experimental Criminology · doi:10.1007/s11292-019-09400-2 · Cited by 74 · see citing works
“The Philadelphia predictive policing experiment At present, “there is little experimental evidence from the field demonstrating whether implementing an advanced analytics predictive model, along with a prevention strategy…works to reduce crime” (Saunders et al. 2016, p. 348).”
Policing in the Era of Big Data
Ridgeway, G. (2018) · Annual Review of Criminology · doi:10.1146/annurev-criminol-062217-114209 · Cited by 55 · see citing works
Forecasting in Light of Big Data
Hosni, H., & Vulpiani, A. (2017) · Philosophy & Technology · doi:10.1007/s13347-017-0265-3 · Cited by 70 · see citing works
Predictive policing and algorithmic fairness
Hung, T.-W., & Yen, C.-P. (2023) · Synthese · doi:10.1007/s11229-023-04189-0 · Cited by 63 · see citing works
What is wrong about Robocops as consultants? A technology-centric critique of predictive policing
Degeling, M., & Berendt, B. (2017) · AI & Society · doi:10.1007/s00146-017-0730-7 · Cited by 61 · see citing works
The Dawn of the Human-Machine Era: A forecast of new and emerging language technologies
Sayers, D., Sousa‐Silva, R., Höhn, S., Ahmedi, L., Allkivi-Metsoja, K., Anastasiou, D., Beňuš, Š., Bowker, L., Bytyçi, E., Catalá, A., et al. (2021) · doi:10.17011/jyx/reports/20210518/1 · Cited by 59 · see citing works
Stop and Risk: Policing, Data, and the Digital Age of Discrimination
Browning, M., & Arrigo, B. A. (2020) · American Journal of Criminal Justice · doi:10.1007/s12103-020-09557-x · Cited by 56 · see citing works
Equal Protection Under Algorithms: A New Statistical and Legal Framework
Yang, C., & Dobbie, W. (2019) · Michigan Law Review · doi:10.2139/ssrn.3462379 · Cited by 55 · see citing works
Egbert, S., & Mann, M. (2021) · Springer eBooks · doi:10.1007/978-3-030-73276-9_2 · Cited by 55 · see citing works
Algorithms and values in justice and security
Hayes, P., van de Poel, I., & Steen, M. (2020) · AI & Society · doi:10.1007/s00146-019-00932-9 · Cited by 55 · see citing works
The machine that ate bad people: The ontopolitics of the precrime assemblage
Mantello, P. A. (2016) · Big Data & Society · doi:10.1177/2053951716682538 · Cited by 52 · see citing works
A Systematic Review of Using Machine Learning and Natural Language Processing in Smart Policing
Sarzaeim, P., Mahmoud, Q. H., Azim, A., Bauer, G., & Bowles, I. (2023) · Computers · doi:10.3390/computers12120255 · Cited by 51 · see citing works
Data in Policing: An Integrative Review
Afzal, M., & Panagiotopoulos, P. (2024) · International Journal of Public Administration · doi:10.1080/01900692.2024.2360586 · Cited by 51 · see citing works
The Criminal Law and Law Enforcement Implications of Big Data
Brayne, S. (2018) · Annual Review of Law and Social Science · doi:10.1146/annurev-lawsocsci-101317-030839 · Cited by 48 · see citing works
Algorithmic paranoia: the temporal governmentality of predictive policing
Sheehey, B. (2018) · Ethics and Information Technology · doi:10.1007/s10676-018-9489-x · Cited by 48 · see citing works
Predicting the Future: Art and Algorithms
Róna‐Tas, Á. (2020) · Socio-Economic Review · doi:10.1093/ser/mwaa040 · Cited by 47 · see citing works
On the person-based predictive policing of AI
Hung, T.-W., & Yen, C.-P. (2020) · Ethics and Information Technology · doi:10.1007/s10676-020-09539-x · Cited by 45 · see citing works
Regulating AI and Robotics: Ethical and Legal Challenges
Ebers, M. (2020) · Algorithms and Law · doi:10.1017/9781108347846.003 · Cited by 44 · see citing works
Allocating Police Resources While Limiting Racial Inequality
Wheeler, A. P. (2019) · Justice Quarterly · doi:10.1080/07418825.2019.1630471 · Cited by 44 · see citing works
Tulumello, S., & Iapaolo, F. (2021) · Urban Geography · doi:10.1080/02723638.2021.1887634 · Cited by 44 · see citing works
The Accuracy of the Violent Offender Identification Directive Tool to Predict Future Gun Violence
Wheeler, A. P., Worden, R. E., & Silver, J. R. (2019) · Criminal Justice and Behavior · doi:10.1177/0093854818824378 · Cited by 42 · see citing works
The logic of the surface: on the epistemology of algorithms in times of big data
Krasmann, S. (2020) · Information Communication & Society · doi:10.1080/1369118x.2020.1726986 · Cited by 41 · see citing works
Achieving Equity with Predictive Policing Algorithms: A Social Safety Net Perspective
Yen, C.-P., & Hung, T.-W. (2021) · Science and Engineering Ethics · doi:10.1007/s11948-021-00312-x · Cited by 41 · see citing works
Datafied and Divided: Techno–Dimensions of Inequality in American Cities
Brannon, M. M. (2017) · City and Community · doi:10.1111/cico.12220 · Cited by 39 · see citing works
Can Precision Policing Reduce Gun Violence? Evidence from “Gang Takedowns” in New York City
Chalfin, A. J., LaForest, M., & Kaplan, J. (2021) · Journal of Policy Analysis and Management · doi:10.1002/pam.22323 · Cited by 37 · see citing works
China and the U.S. produce more impactful AI research when collaborating together
AlShebli, B., Memon, S. A., Evans, J. A., & Rahwan, T. (2024) · Scientific Reports · doi:10.1038/s41598-024-79863-5 · Cited by 34 · see citing works
Gerstner, D. (2018) · European Journal for Security Research · doi:10.1007/s41125-018-0033-0 · Cited by 33 · see citing works
Frontiers in the economics of crime: lessons for Latin America and the Caribbean
Jaitman, L. (2019) · Latin American Economic Review · doi:10.1186/s40503-019-0081-5 · Cited by 31 · see citing works
Egbert, S. (2018) · European Journal for Security Research · doi:10.1007/s41125-017-0027-3 · Cited by 31 · see citing works
Smart Policing: A Critical Review of the Literature
Afzal, M. Y., & Panagiotopoulos, P. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-57599-1_5 · Cited by 30 · see citing works
Torres, J. A., Reling, T. T., & E.Hawdon, J. (2018) · Journal of Police and Criminal Psychology · doi:10.1007/s11896-018-9284-y · Cited by 29 · see citing works
Participatory AI: Reducing AI Bias and Developing Socially Responsible AI in Smart Cities
Falco, G. J. (2019) · IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) · doi:10.1109/cse/euc.2019.00038 · Cited by 28 · see citing works
Rummens, A., & Hardyns, W. (2020) · Applied Spatial Analysis and Policy · doi:10.1007/s12061-020-09339-2 · Cited by 27 · see citing works
Predictable policing: New technology, old bias, and future resistance in big data surveillance
Minocher, X., & Randall, C. (2020) · Convergence The International Journal of Research into New Media Technologies · doi:10.1177/1354856520933838 · Cited by 27 · see citing works
Bullock, B. B., Nascimento, F., & Doore, S. A. (2021) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/3408877.3432468 · Cited by 27 · see citing works
Predictive Analytics for City Agencies: Lessons from Children's Services
Shroff, R. (2017) · Big Data · doi:10.1089/big.2016.0052 · Cited by 27 · see citing works
Law, liberty and technology: criminal justice in the context of smart machines
Brownsword, R., & Harel, A. (2019) · International Journal of Law in Context · doi:10.1017/s1744552319000065 · Cited by 27 · see citing works
Machine Learning, Ethics and Law
Miller, S. (2019) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v23i0.1893 · Cited by 25 · see citing works
A Recommendation Engine to Aid in Identifying Crime Patterns
Chohlas-Wood, A., & Levine, E. S. (2019) · INFORMS Journal on Applied Analytics · doi:10.1287/inte.2019.0985 · Cited by 23 · see citing works
Constitutional Rights in the Machine Learning State
Huq, A. Z. (2020) · doi:10.2139/ssrn.3613282 · Cited by 21 · see citing works
The Politics and Science of Prevision
Wenger, A., Jasper, U., & Cavelty, M. D. (2020) · Routledge eBooks · doi:10.4324/9781003022428 · Cited by 21 · see citing works
Artificial Intelligence Adoption in Predictive Policing to Predict Crime Mitigation Performance
Shamsi, H. R. S. A., Safei, S., & Abu Dhabi Police GHQ, A. D. (2023) · International Journal of Sustainable Construction Engineering Technology · doi:10.30880/ijscet.2023.14.03.025 · Cited by 21 · see citing works
Risk, race, and predictive policing: A critical race theory analysis of the strategic subject list
DaViera, A. L., Uriostegui, M., Gottlieb, A., & Onyeka, O. “. (2023) · American Journal of Community Psychology · doi:10.1002/ajcp.12671 · Cited by 20 · see citing works
Ariel, B. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108278423.022 · Cited by 17 · see citing works
Smart criminal justice: Phenomena and normative requirements
Simmler, M., Canova, G., & Schedler, K. (2023) · International Review of Administrative Sciences · doi:10.1177/00208523211039740 · Cited by 16 · see citing works
Managing Algorithms for Public Value
Selten, F., & Meijer, A. J. (2021) · International Journal of Public Administration in the Digital Age · doi:10.4018/ijpada.20210101.oa9 · Cited by 16 · see citing works
Marciniak, D. (2022) · Policing & Society · doi:10.1080/10439463.2022.2144305 · Cited by 16 · see citing works
Harm-focused offender triage and prioritization: a Philadelphia case study
Ratcliffe, J., & Kikuchi, G. (2019) · Policing: An International Journal · doi:10.1108/pijpsm-08-2018-0118 · Cited by 15 · see citing works
“It makes almost no difference which algorithm you use”: on the modularity of predictive policing
Lally, N. (2021) · Urban Geography · doi:10.1080/02723638.2021.1949142 · Cited by 16 · see citing works
Goldenfein, J. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108637657 · Cited by 14 · see citing works
Examining public support for AI in policing: the role of perceived procedural justice
Güler, A., Kula, S., & Boke, K. (2025) · Police Practice and Research · doi:10.1080/15614263.2025.2516535 · Cited by 13 · see citing works
Algorithmic Governance and Governance of Algorithms: An Introduction
Gamito, M. C., & Ebers, M. (2020) · Data science, machine intelligence, and law · doi:10.1007/978-3-030-50559-2_1 · Cited by 13 · see citing works
Brisk, R., Bond, R., Finlay, D., McLaughlin, J. A., Piadlo, A., Leslie, S. J., Gossman, D. E., Menown, I. B. A., MCENEANEY, D. J., & Warren, S. G. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab002 · Cited by 13 · see citing works
Sprick, D. (2020) · NAVEIÑ REET Nordic Journal of Law and Social Research · doi:10.7146/nnjlsr.v1i9.122164 · Cited by 13 · see citing works
‘Led by Intelligence': A Scoping Review on the Experimental Evaluation of Intelligence-Led Policing
Khalfa, R., & Hardyns, W. (2024) · Evaluation Review · doi:10.1177/0193841x231204588 · Cited by 12 · see citing works
Algorithmic policing accountability: eight sociotechnical challenges
Wessels, M. (2023) · Policing & Society · doi:10.1080/10439463.2023.2241965 · Cited by 12 · see citing works
Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency
Camilleri, H., Ashurst, C., Jaisankar, N., Weller, A., & Zilka, M. (2023) · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO) · doi:10.1145/3617694.3623249 · Cited by 12 · see citing works
Wenn Algorithmen für uns entscheiden: Chancen und Risiken der künstlichen Intelligenz
Christen, M., Mader, C., Čas, J., Abou‐Chadi, T., Bernstein, A., Binder, N. B., Dell’Aglio, D., Fabbian, L., George, D., Gohdes, A., et al. (2020) · vdf Hochschulverlag AG an der ETH Zürich eBooks · doi:10.1553/10.3218/4002-9 · Cited by 11 · see citing works
Data-Driven Optimization for Atlanta Police-Zone Design
Zhu, S., Wang, H., & Xie, Y. (2022) · INFORMS Journal on Applied Analytics · doi:10.1287/inte.2022.1122 · Cited by 11 · see citing works
Artificial Intelligence-Related Anomies and Affects Normative (Dis)Orders in Liberal Democracies
Shad, K. B. (2022) · AI & Society · doi:10.1007/s00146-023-01751-9 · Cited by 11 · see citing works
Local Justice and the Algorithmic Allocation of Scarce Societal Resources
Das, S. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i11.21486 · Cited by 11 · see citing works
Henderson, T. (2019) · Conference on Computing Education Practice (CEP) · doi:10.1145/3294016.3294017 · Cited by 11 · see citing works
Liberatore, F., Camacho‐Collados, M., & Quijano-Sánchez, L. (2023) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2023.101556 · Cited by 10 · see citing works
Santos, R. B. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108278423.017 · Cited by 10 · see citing works
Silver, I. A., WOOLDREDGE, J. D., Sullivan, C. J., & Nedelec, J. L. (2020) · Journal of Quantitative Criminology · doi:10.1007/s10940-020-09455-9 · Cited by 10 · see citing works
Hardyns, W., & Khalfa, R. (2022) · Applied Spatial Analysis and Policy · doi:10.1007/s12061-022-09485-9 · Cited by 10 · see citing works
Beijing’s central role in global artificial intelligence research
AlShebli, B., Cheng, E., Waniek, M., Jagannathan, R., Hernández‐Lagos, P., & Rahwan, T. (2022) · Scientific Reports · doi:10.1038/s41598-022-25714-0 · Cited by 11 · see citing works
Algorithms Can Predict Domestic Abuse, But Should We Let Them?
Bland, M. (2020) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-030-50613-1_6 · Cited by 10 · see citing works
Chouhy, C., Swagar, N., Brancale, J. N., Noorman, K., Siennick, S. E., Caswell, J., Bales, W. D., Pesta, G. B., & Blomberg, T. G. (2021) · American Journal of Criminal Justice · doi:10.1007/s12103-021-09619-8 · Cited by 10 · see citing works
Crime mapping in urban environments using explainable AI: A case study of Daegu, Korea
Kim, G., Cho, Y. T., Han, Y., & Lee, G. (2025) · Sustainable Cities and Society · doi:10.1016/j.scs.2025.106507 · Cited by 9 · see citing works
Heimstädt, M., Egbert, S., & Esposito, E. (2020) · Sociologica · doi:10.6092/issn.1971-8853/11470 · Cited by 9 · see citing works
Gélvez, J. D., Nieto-Rodríguez, M.-P., & Rocha-Ruiz, C. A. (2022) · URVIO - Revista Latinoamericana de Estudios de Seguridad · doi:10.17141/urvio.34.2022.5395 · Cited by 9 · see citing works
Contemporary Issues in Gun Policy: Essays from the RAND Gun Policy in America Project
Ramchand, R., & Saunders, J. M. (2021) · RAND Corporation eBooks · doi:10.7249/rr-a243-2 · Cited by 9 · see citing works
Self-citationMachine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It
Heller, S., Jakubowski, B., Jelveh, Z., & Kapustin, M. (2022) · National Bureau of Economic Research · doi:10.3386/w30170 · Cited by 9 · see citing works
Policing, Technology, and Public Values: A Public Administration Research Agenda
Feeney, M. K., & Mughan, S. (2024) · Perspectives on Public Management and Governance · doi:10.1093/ppmgov/gvae011 · Cited by 8 · see citing works
Algorithmic meta‐capital and the Narrative Policy Framework
Ling, X., & Yan, S. (2025) · Policy Studies Journal · doi:10.1111/psj.70019 · Cited by 8 · see citing works
Investments in Policing and Community Safety
Chalfin, A. J. (2024) · Annual Review of Criminology · doi:10.1146/annurev-criminol-111523-122746 · Cited by 7 · see citing works
Policing gun crimes: A comprehensive review of strategies and effectiveness
Jiao, A. Y. (2022) · The Police Journal Theory Practice and Principles · doi:10.1177/0032258x221113454 · Cited by 7 · see citing works
Rossler, M. T. (2019) · Emerald Group Publishing Limited eBooks · doi:10.1108/s2053-769720190000031014 · Cited by 7 · see citing works
Albrecht, H. (2020) · European Journal for Security Research · doi:10.1007/s41125-019-00062-9 · Cited by 7 · see citing works
- Authors
- Saunders, J., Hunt, P., & Hollywood, J. S.
- Affiliations
- RAND Corporation (US)
- Corresponding author
- Saunders, Jessica
- Venue
- Journal of Experimental Criminology
- Published
- 2016-08-12
- Volume
- 12
- Issue
- 3
- Pages
- 347-371
- ISSN
- 1572-8315 (ISSN-L)
- 1573-3750
- OpenAlex
- W2509791345
- Cited by
- 193
- References
- 85
- Citations by year
- 2026: 15 · 2025: 14 · 2024: 12 · 2023: 17 · 2022: 30 · 2021: 24 · 2020: 28 · 2019: 26 · 2018: 15 · 2017: 10 · 2016: 2
- FWCI
- 20.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Experimental Criminology (publishedVersion)
- Funders
- National Institute of Justice (US) (2009-IJ-CX-K114)
- Topics
- Social Sciences › Health › Gun Ownership and Violence Research
- Social Sciences › Political Science and International Relations › Policing Practices and Perceptions
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Keywords
- predictive policing, gun violence, homicide, Chicago Police Department, Compstat, arrest rates, homicide prevention, police intervention
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