Greg Ridgeway
Rebecca W. Bushnell Professor of Criminology
University of Pennsylvania
Philadelphia, PA
(215) 573-9109
gridge@upenn.edu
Rebecca W. Bushnell Professor of Criminology
University of Pennsylvania
Philadelphia, PA
(215) 573-9109
gridge@upenn.edu
Ph.D. - Statistics, 1999
Dissertation title: Generalization of Boosting Algorithms and Applications of Bayesian Inference to Massive Datasets
Department of Statistics, University of Washington, Seattle, WA
Advisors: David Madigan and Thomas Richardson
Master of Science - Statistics, 1997
Department of Statistics, University of Washington, Seattle, WA
Bachelor of Science - Statistics, 1995
California Polytechnic State University, San Luis Obispo, CA
8/2014 to present, Department of Criminology and Department of Statistics and Data Science, University of Pennsylvania
Rebecca W. Bushnell Professor of Criminology (7/2022-present)
Positions and affiliations:
Full Professor (7/2020-present)
Data-Driven Discovery Initiative, Co-director (2021-present)
Chair of Department of Criminology (7/2019-6/2025)
Associate Professor (8/2014-6/2020)
Undergraduate Chair (7/2023-6/2024)
Quattrone Center for the Fair Administration of Justice, University of Pennsylvania Law School (8/2015-present)
Penn Injury Science Center (8/2015-present)
Center for Causal Inference, Clinical Epidemiology & Biostatistics, Perelman School of Medicine (8/2016-present)
Graduate Group in Epidemiology and Biostatistics, Perelman School of Medicine (12/2017-present)
Warren Center for Network and Data Science, School of Engineering and Applied Science (3/2023-present)
Population Studies Center (1/2024-present)
1/2021 to 12/2025, Co-editor-in-chief, Journal of Quantitative Criminology
7/2012 to 7/2014, National Institute of Justice, United States Department of Justice
Directed the Department of Justice’s science agency, an 80-person, $250M/year federal agency with a mission to make the US safer by solving real world crime problems through science and innovation in forensics, technology, and social science
Acting Director (1/2013-7/2014)
Deputy Director, Senior Executive Service (7/2012-7/2014)
7/2000 to 6/2012, RAND Corporation
Directed RAND's portfolio of research on police, courts, corrections, gangs, guns, drugs, and all aspects of the criminal justice system. 50-person research team, 40 research proposals/year, and $10M/year of research projects
RAND Safety & Justice Program, Director (1/2009-6/2012)
RAND Center on Quality Policing, Director (1/2008-6/2012)
RAND Safety & Justice Program, Acting Director (11/2007-1/2009)
RAND Statistics Group, Senior Statistician (5/2007-6/2012)
RAND Safety & Justice Program, Associate Director (8/2006-11/2007)
RAND Statistics Group, Full Statistician (5/2003-5/2007)
RAND Statistics Group, Associate Statistician (7/2000-5/2003)
7/2001 to 8/2001, Department of Sociology, University of Washington, Visiting Scholar
9/1999 to 6/2000, Department of Statistics, University of Washington, Lecturer
6/1996 to 9/1997, Microsoft Research, Research assistant
9/1993 to 9/1995, California Department of Mental Health, Atascadero State Hospital, Clinical Safety Project, Research assistant
8/1994 to 9/1995, UC Berkeley Cooperative Extension, Integrated Hardwood Range Management Program, Research assistant
2021-present Co-director, Data Driven Discovery Initiative
Launched a new data science initiative, staffing the initiative, new post-doc program, data science for social good, seed grants, data science minor
2022-present Committee member, Senate Committee on Students and Educational Policy
Oversee and advise on admission and instruction of students, academic integrity, admissions policies and administration, evaluation of teaching, examinations and grading, academic experiences, educational opportunities, student records, disciplinary systems, and the campus environment
2019-2025 Chair, Department of Criminology
Stimulated grant and donor funded research, particularly on justice policy analysis focused on Philadelphia, secured two strategic senior faculty hires, seeded crime policy lab
2021-2024 Committee member, Committee on Planning and Priorities
Advise the School of Arts and Sciences on emerging issues in education, research, and university operations
2019-2021 SAS Data Driven Discovery Working Group
Strategic planning on faculty hiring, new programming, collective coverage of data science in SAS, and new opportunities
2014-2023 Director, Master of Science in Criminology program
Admissions, career planning, alumni network, job/PhD placement of graduates, joint programs with Penn Fels Institute of Government, Penn School of Social Policy and Practice, and Penn Law
2018-2022 Committee member, Committee on Undergraduate Education
Advise the Dean and faculty on matters affecting the undergraduate educational mission in the School of Arts and Sciences
2018-2020 Committee member, Vice Provost for Education Fellowship Selection Committee
Selection of nominees for fellowship awards whenever the University is invited to submit a limited number of nominees
2025 Fellow, American Society of Criminology
2024 Fellow, Academy of Experimental Criminology
2013 Fellow, American Statistical Association
2007 American Statistical Association Outstanding Statistical Application Award (joint with J. Grogger) for “Testing for racial profiling in traffic stops from behind a veil of darkness.”
RAND Gold Medal Award for outstanding contributions to furthering RAND's mission of improving policy and decisionmaking through research and analysis
2005 Commendation by the ATF Los Angeles Field Division and the Attorney General of California for “Contributions to Reducing Firearms Related Crimes in Los Angeles.”
President's Choice Award for “developing pioneering and innovative methods for racial profiling”. Awarded annually to two RAND researchers.
1999 Z.W. Birnbaum Award - awarded annually to one graduate student by the UW Department of Statistics for excellence in research and presentation
2014
US Patent 8,719,210 - “System and Method for Medical Treatment Hypothesis Testing.” Granted May 6, 2014.
2013
US Patent 8,538,906 - “System and method for medical treatment hypothesis testing using relative likelihood of treatment results.” Granted September 17, 2013.
2003
US Patent 6,606,613 - “Methods and apparatus for using task models to help computer users complete tasks.” Co-inventor with Steven J. Altschuler, David Ingerman, Edward Jung, and Lani Wu. Granted August 12, 2003.
2001
US Patent 6,330,554 - “Methods and apparatus using task models for targeting marketing information to computer users based on a task being performed.” Co-inventor with Steven J. Altschuler, David Ingerman, Edward Jung, and Lani Wu. Granted December 11, 2001.
US Patent 6,195,622 - “Methods and apparatus for building attribute transition probability models for use in pre-fetching resources.” Co-inventor with Steven J. Altschuler. Granted February 27, 2001.
2000
US Patent 6,154,767 - “Methods and apparatus for using attribute transition probability models for pre-fetching resources.” Co-inventor with Steven J. Altschuler. Granted November 28, 2000.
US Patent 6,088,718 - “Methods and apparatus for using resource transition probability models for pre-fetching resources.” Co-inventor with Steven J. Altschuler. Granted July 11, 2000.
US Patent 6,012,052 - “Methods and apparatus for building resource transition probability models for use in pre-fetching resources, editing resource link topology, building resource link topology templates, and collaborative filtering.” Co-inventor with Steven J. Altschuler. Granted January 4, 2000.
2020-2023
Principal Investigator, “Prosecutors and Criminal Justice Reform: Independent Research Partnership with the Philadelphia District Attorney’s Office,” Arnold Ventures, $2,509,009 (with Aurelie Ouss).
2020-2022
Co-Principal Investigator. "Evaluation of Philadelphia Group Violence Intervention," Urban Affairs Coalition and Philadelphia Office of Violence Prevention, $150,269 (with Ruth Moyer).
2020-2022
Principal Investigator, “Crime Prevention Through Intelligence & Information Sharing,” Neubauer Family Foundation, $543,298 (with Aaron Chalfin).
2016
Site PI, “Disrupting Illegal Gun Transfers,” National Institute of Justice (prime: RAND Corporation), 2013-R2-CX-0016, $42,118.
2015-2016
Site PI, “Replication of the Cardiff Violence Prevention Model in the United States,” Robert Wood Johnson Foundation (prime: National Foundation for the Centers for Disease Control & Prevention Inc.), Grant 72352, $213,572.
2011-2012
Program Director, “Developing the Center of Research and Security Studies,” Ministry of Interior, Abu Dhabi, $1,500,000.
2010-2012
Co-Principal Investigator, “National Law Enforcement and Corrections Technology Center’s (NLECTC) Information and Geospatial Technology Center of Excellence,” National Institute of Justice 2010-IJ-CX-K007, $6,000,000 (with John Hollywood).
2010-2012
Co-Principal Investigator, “An Experimental Evaluation of the BJA DMI Training and Technical Assistance Initiative,” Bureau of Justice Assistance, 2010-DJ-BX-1672, $2,900,000 (with Beau Kilmer and Jessica Saunders).
2010-2012
Co-Principal Investigator, “Enabling the Police to Serve the Needs of 21st Century Israel,” Israel Ministry of Public Security and the RAND Israel Policy Fund, $1,600,000 (with Steven Popper).
2010-2012
Principal Investigator, “Predictive Policing Analytic and Evaluation Research Support,” National Institute of Justice grant 2009-IJ-CX-K114, $1,084,846.
2008-2010
Principal Investigator, “Case weighting for federal public defender services,” Administrative Office of the US Courts contract USCA08F0404, $564,510 (with Nick Pace).
2008-2012
Principal Investigator, “Evaluation of the Los Angeles County Juvenile Justice Crime Prevention Act Programs,” Los Angeles County Probation Department, $1,610,000 (with Terry Fain and Susan Turner).
2008
Principal Investigator, “Development of internal benchmarking system,” New York City Police Foundation, $32,000.
2007
Principal Investigator, “Assessment of racial bias in NYPD's stop, question, and frisk practices,” New York City Police Foundation, $120,000.
2007-2008
Principal Investigator, “Strategies for improving police recruiting,” San Diego Police Department, $160,000.
2006-2007
Co-Principal Investigator, “Analysis of Graduate Driver Licensing- Lower Risk Exposure or Better Driving?,” National Institute of Child Health & Human Development grant 1R03HD052547-01, $184,122 (with Pinar Karaca-Mandic).
2004-2009
Principal Investigator, “Improving Police-Community Relations in Cincinnati,” City of Cincinnati contract 45X0028, $1,581,300.
2002-2004
Principal Investigator, “DOJ Racial Profiling Initiative,” City of Oakland contract EM3.20.02, $75,000.
2001-2008
Co-Principal Investigator, “Strategic Disruption of Firearms Markets,” National Institute of Justice grant 2001-IJ-CX-0028, $647,952 (with George Tita).
2001-2002
Principal Investigator, “Data mining and Columbia counterdrug strategies,” Office of the Secretary of Defense, (three projects) $57,845, $27,965, $19,165.
G. Ridgeway. "A Conditional Stereotype Model to Estimate Officer-level Propensity to Use Force."
F. A. Amaral, C. Loeffler, G. Ridgeway (2024). "Prosecutorial discretion not to invoke the criminal process and its impact on firearm cases," Journal of Criminal Justice 95:102313.
J.R. Gyourko and G. Ridgeway (2024). "Predictors of Identity Fraud Victimization of Adolescent Youth in Foster Care," Victims & Offenders.
V. Nguyen and G. Ridgeway (2023). "Judges on the Benchmark: Developing a Sentencing Feedback System," Justice Quarterly 41(1):1–37.
E.C. South, J.M. MacDonald, V.W. Tam, G. Ridgeway, C.C. Branas (2023). "Effect of Abandoned Housing Interventions on Gun Violence, Perceptions of Safety, and Substance Use in Black Neighborhoods: A Citywide Cluster Randomized Trial," JAMA Internal Medicine 183(1):31-39.
Z. F. Meisel, F. Shofer, A. Dolan, E. B. Goldberg, K. V. Rhodes, E. P. Hess, V. R. Bellamkonda, J. Perrone, C. C. Cannuscio, L. Becker, M. A. Rodgers, M. M. Zyla, J. J. Bell, S. McCollum, E. Engel-Rebitzer, M. J. Nguemeni Tiako, G. Ridgeway, and M. M. Schapira (2022). “A multicentered randomized controlled trial comparing the effectiveness of pain treatment communication tools in emergency department patients with back pain or kidney stone pain,” American Journal of Public Health 112(S1):S45-S55.
G. Ridgeway, J. Rosenberger, and L. Xue (2021). “Statisticians Engage in Gun Violence Research,” Statistics and Public Policy 8(1):73-79.
Y. Wu and G. Ridgeway (2021). “Effect of Public Transit on Crime: Evidence from SEPTA strikes in Philadelphia,” Journal of Experimental Criminology 17:267-286.
G. Ridgeway, B. Cave, J. Grieco, and C.E. Loeffler (2021). “A Conditional Likelihood Model of the Relationship Between Officer Features and Rounds Discharged in Police Shootings,” Journal of Quantitative Criminology 37(1):303-326.
R. Moyer and G. Ridgeway (2020). “The Effect of Outpatient Methadone Maintenance Treatment Facilities on Place-Based Crime,” Journal of Experimental Criminology 16(2):227–245.
G. Ridgeway, R. Moyer, and S. Bushway (2020). “Sentencing Scorecards: Reducing Racial Disparities in Prison Sentences at Their Source,” Criminology & Public Policy 19(4):1113-1138.
G. Ridgeway (2020). “The Role of Individual Officer Characteristics in Police Shootings,” The ANNALS of the American Academy of Political and Social Science 687(1):58-66. With a technical appendix showing the decomposition of information.
G. Ridgeway, J. Grogger, R.A. Moyer, and J.M. MacDonald (2019). “Effect of Gang Injunctions on Crime: A Study of Los Angeles from 1988-2014,” Journal of Quantitative Criminology 35(3):517-541.
C.E. Loeffler, J.M. Hyatt, and G. Ridgeway (2019). “Measuring Self-Reported Wrongful Convictions Among Prisoners,” Journal of Quantitative Criminology 35(2):259-286.
R. Moyer, J.M. MacDonald, G. Ridgeway, and C. Branas (2019). “Effect of Remediating Blighted Vacant Land on Shootings: A Citywide Cluster Randomized Trial,” American Journal of Public Health 109(1):140-144.
G. Ridgeway, M. Nørgaard, T.B. Rasmussen, W.D. Finkle, L. Pedersen, H.E. Bøtker, and H.T. Sørensen (2019). “Benchmarking Danish Hospitals on Mortality and Readmission Rates After Cardiovascular Admission,” Clinical Epidemiology 11:67-80.
G. Ridgeway (2019). “Experiments in Criminology,” Annual Review of Statistics and Its Applications 6:37-61.
O. Mitchell and G. Ridgeway (2018). “Assessing the Fairness and Effectiveness of Bicycle Stops in Tampa,” Police Quarterly 21(4):461-485.
J. Lyons, V. Desai, Y. Xu, G. Ridgeway, W. Finkle, P. Solari, S. Sullivan, S. Lanes (2018). “Development and Validation of an Algorithm for Identifying Patients with Hemophilia A in an Administrative Claims Database,” Value in Health 21(9):1098-1103.
S.F. Jacoby, L.M. Kollar, G. Ridgeway, S.A. Sumner (2018). “Health System and Law Enforcement Synergies for Injury Surveillance, Control and Prevention: A Scoping Review,” Injury Prevention 24:305-311.
V. Bacak and G. Ridgeway (2018). “Availability of Health-Related Programs in Private and Public Prisons,” Journal of Correctional Health Care 24(1):62-70.
S.-L. Faraji, G. Ridgeway, and Y. Wu (2018). “Effect of Emergency Winter Homeless Shelters on Property Crime,” Journal of Experimental Criminology 14(2):129-140.
G. Ridgeway (2018). “Policing in the Era of Big Data,” Annual Review of Criminology 1:401-419.
R. Umbach, A. Raine, and G. Ridgeway (2017). “Aggression and Lost Sleep: a Daylight Saving Time Natural Experiment,” Journal of Experimental Criminology 13(4):439-453.
G. Ridgeway (2017). “Stop-and-Frisk is Essential… and Requires Restraint,” Journal of Policy Analysis and Management 36(3):683–689 (with discussion and rejoinder).
G. Ridgeway and J.M. MacDonald (2017). “Effect of Rail Transit on Crime: A Study of Los Angeles from 1988-2014,” Journal of Quantitative Criminology 33(2):277-291.
G. Ridgeway and B. Kilmer (2016). “Bayesian inference for the distribution of grams of marijuana in a joint,” Drug and Alcohol Dependence 165:175–180.
G. Ridgeway (2016). “Officer Risk Factors Associated with Police Shootings: A Matched Case-Control Study,” Statistics and Public Policy 3(1):1-6.
G. Ridgeway, S. Kovalchik, B.A. Griffin, and M.U. Kabeto (2015). “Propensity score analysis with survey weighted data,” Journal of Causal Inference 3(2):237-249.
J. Saunders, R. Lundberg, A.A. Braga, G. Ridgeway, and J. Miles (2015). “A Synthetic Control Approach to Evaluating Placed-Based Crime Interventions,” Journal of Quantitative Criminology 31(3):413-434.
W.D. Finkle, S. Greenland, G. Ridgeway, J.L. Adams, M.A. Frasco, M.B. Cook, J.F. Fraumeni, R.N. Hoover (2014). “Increased Risk of Non-fatal Myocardial Infarction Following Testosterone Therapy Prescription in Men,” PLOS ONE 9(1):e85805.
G. Ridgeway and J.M. MacDonald (2014). “A Method for Internal Benchmarking of Criminal Justice System Performance,” Crime & Delinquency 60(1):145-162.
A.A. Braga, G.J. Wintemute, G.L. Pierce, P.J. Cook, and G. Ridgeway (2012). “Interpreting the empirical evidence on illegal gun market dynamics,” Journal of Urban Health 89(5):779-93.
D. Golinelli, G. Ridgeway, H. Rhoades, J. Tucker and S. Wenzel (2012). “Bias and variance trade-offs when combining propensity score weighting and regression: with an application to HIV status and homeless men,” Health Services and Outcomes Research Methodology 12(2-3):104-118.
W.D. Finkle, J.S. Der, S. Greenland, J.L. Adams, G. Ridgeway, T. Blaschke, Z. Wang, R.M. Dell, and K.B. VanRiper (2011). “Risk of Fractures Requiring Hospitalization After an Initial Prescription for Zolpidem, Alprazolam, Lorazepam, or Diazepam in Older Adults,” Journal of the American Geriatrics Society 59(10):1883-1890.
G. Ridgeway, A. Braga, G. Tita, and G. Pierce (2011). “Intervening in gun markets: An experiment to assess the impact of targeted gun law messaging,” Journal of Experimental Criminology 7(1):103-109.
J.M. MacDonald, R.J. Stokes, D. Cohen, A. Kofner, and G. Ridgeway (2010). “The Effect of Light Rail Transit on Body Mass Index and Physical Activity,” American Journal of Preventive Medicine 39(2):105–112.
P. Karaca-Mandic and G. Ridgeway (2010). “Behavioral Impact of Graduated Driver Licensing on Teenage Driving Risk and Exposure,” Journal of Health Economics 29:48-61.
G. Ridgeway and J.M. MacDonald (2009). “Doubly Robust Internal Benchmarking and False Discovery Rates for Detecting Racial Bias in Police Stops,” Journal of the American Statistical Association 104(486):661–668.
R. Lin, T.A. Louis, S.M. Paddock, G. Ridgeway (2009). “Ranking USRDS provider specific SMRs from 1998-2001,” Health Services and Outcomes Research Methodology 9(1):22-38.
R.J. Stokes, J.M. MacDonald, and G. Ridgeway (2008). “Estimating the effects of light rail transit on health care costs,” Health & Place 14(1):45-58.
MacDonald, J.M., R.J. Stokes, G. Ridgeway, and K.J. Riley (2007). “Race, Neighborhood context, and perceptions of injustice by the police,” Urban Studies 44(13):2567-2585.
D.F. McCaffrey, A.R. Morral, and G. Ridgeway, B.A. Griffin (2007). “Interpreting treatment effects when cases are institutionalized after treatment,” Drug and Alcohol Dependence 89(2-3):126-138.
G. Tita and G. Ridgeway (2007). “The impact of gang formation on local patterns and levels of crime,” Journal of Research in Crime and Delinquency 44(2):208-237.
R.N. Bluthenthal, G. Ridgeway, T. Schell, R. Anderson, N.M. Flynn, and A.H. Kral (2007). “Examination of the association between syringe exchange program (SEP) dispensation policy and SEP client-level syringe coverage among injection drug users,” Addiction 102(4):638-646.
R. Boer, Y. Zheng, A. Overton, G. Ridgeway, D. Cohen (2007). “Neighborhood Design and Walking Trips in 10 U.S. Metropolitan Areas,” American Journal of Preventive Medicine 32(4):298-304.
R. Lin, T.A. Louis, S.M. Paddock, and G. Ridgeway (2006). “Loss Function Based Ranking in Two-Stage Hierarchical Models,” Bayesian Analysis 1(4):915-946.
G. Tita, A. Braga, G. Ridgeway, G. Pierce (2006). “The criminal purchase of firearm ammunition in Los Angeles, California,” Injury Prevention 12:308-311.
J. Grogger and G. Ridgeway (2006). “Testing for racial profiling in traffic stops from behind a veil of darkness,” Journal of the American Statistical Association 101(475):878-887. ASA 2007 Outstanding Statistical Application Award
S.M. Paddock, G. Ridgeway, R. Lin, T.A. Louis (2006). “Flexible distributions for triple-goal estimates in two-stage hierarchical models,” Computational Statistics and Data Analysis 50(11):3243-3262.
G. Ridgeway (2006). “Assessing the effect of race bias in post-traffic stop outcomes using propensity scores,” Journal of Quantitative Criminology 22(1):1-29. Example code and dataset.
D.A Cohen, T.A. Farley, K. Mason, G. Ridgeway (2006). “The collectivity of sexual behaviour,” International Journal of STD & AIDS 17(3):151-156.
C. Guarino, G. Ridgeway, M. Chun, and R. Buddin (2005). “A Bayesian latent variable model for institutional ranking,” Higher Education in Europe 30(2):147-165.
D. McCaffrey, G. Ridgeway, A. Morral (2004). “Propensity score estimation with boosted regression for evaluating adolescent substance abuse treatment,” Psychological Methods 9(4):403-425. [Included in J. Miles and B. Stucky (editors) (2014). Quantitative Psychology, SAGE Publications.]
A.R. Morral, D.F. McCaffrey, G. Ridgeway (2004). “Effectiveness of community-based treatment for substance abusing adolescents: 12-month outcomes from a case-control evaluation of a Phoenix Academy,” Psychology of Addictive Behaviors 18(3):257-268.
G. Ridgeway and D. Madigan (2003). “A sequential Monte Carlo method for Bayesian analysis of massive datasets,” Data Mining and Knowledge Discovery 7(3):301-319.
D. Relles, G. Ridgeway, and G. Carter (2003). “Data mining and the implementation of a prospective payment system for inpatient rehabilitation,” Health Services and Outcomes Research Methodology 3:247-266.
G.M. Carter, D.A. Relles, G. Ridgeway, C.M. Rimes (2003). “Measuring function for Medicare inpatient rehabilitation payment,” Health Care Financing Review 24(3):25-44.
G. Ridgeway and D. Madigan (2002). “Bayesian analysis of massive datasets via particle filters,” Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 5-13.
D. Madigan, N. Raghavan, W. DuMouchel, M. Nason, C. Posse, and G. Ridgeway (2002). “Instance construction via likelihood-based data squashing,” Data Mining and Knowledge Discovery 6(2):173-190.
G. Ridgeway (2002). “Looking for Lumps: Boosting and bagging for density estimation,” Computational Statistics and Data Analysis 38(4):379-392. (w/R script)
G. Ridgeway, D. Madigan, T. Richardson, and J. O'Kane (1998). “Interpretable boosted naïve Bayes classification,” Proceedings, Fourth International Conference on Knowledge Discovery and Data Mining (R. Agrawal, P. Stolorz, G. Piatetsky-Shapiro, eds.), 101-104.
G. Ridgeway, O. Mitchell, S. Gunderman, C. Alexander, J. Letten (2016). An Examination of Racial Disparities in Bicycle Stops and Citations Made by the Tampa Police Department, COPS-W0801.
T. Fain, S. Turner, and G. Ridgeway (2012). Los Angeles County Juvenile Justice Crime Prevention Act: Fiscal Year 2009-2010 Report, RAND TR-988.
N.M. Pace, G. Ridgeway, J.M. Anderson, C. Fan, M. Horta (2011). Case Weights for Federal Defender Organizations, RAND TR-1007-AOUSC.
T. Fain, S. Turner, and G. Ridgeway (2011). Los Angeles County Juvenile Justice Crime Prevention Act: Fiscal Year 2008-2009 Report, RAND TR-832.
G. Ridgeway, L.W. Castaneda, A.B. Cross, E. Wilke, and J. Saunders (2010). “The Experience of Domestic Agencies: Police, Fire, and Federal Agencies,” in Sexual Orientation and U.S. Military Personnel Policy, RAND MG-1056-OSD. Volume received 2011 Policy Impact Award from the American Association for Public Opinion Research
L.W. Castaneda and G. Ridgeway (2010). Today's Police and Sheriff Recruits: Insights from the Newest Members of America's Law Enforcement Community, RAND MG-992-DOJ.
T. Fain, S. Turner, and G. Ridgeway (2010). Los Angeles County Juvenile Justice Crime Prevention Act: Fiscal Year 2007-2008 Report, RAND TR-746.
G. Ridgeway (2009). Cincinnati Police Department's Traffic Stops: Applying RAND’s Framework to Analyze Racial Disparities, RAND MG-914-CC.
N. Lim, C. Matthies, G. Ridgeway, B. Gifford (2009). To Protect and to Serve: Enhancing the Efficiency of LAPD Recruiting, RAND MG-881-RMPF. (Nominated by LAPD and received honorable mention from IACP's Excellence in Law Enforcement Research Award)
G.F. Treverton, C. Matthies, K.J. Cunningham, J. Goulka, G. Ridgeway, A. Wong (2009). Film Piracy, Organized Crime, and Terrorism, RAND MG-742-MPA.
G. Ridgeway, T.L. Schell, B. Gifford, J. Saunders, S. Turner, K.J. Riley, T.L. Dixon (2009). Police-Community Relations in Cincinnati, RAND MG-853-CC.
G. Ridgeway, N. Lim, B. Gifford, C. Koper, C. Matthies, S. Hajiamiri, A. Huynh (2008). Strategies for Improving Officer Recruitment in the San Diego Police Department, RAND MG-724-SDPD.
B.D. Rostker, L.M. Hanser, W.M. Hix, C. Jensen, A.R. Morral, G. Ridgeway, T.L. Schell (2008). Evaluation of the New York City Police Department Firearm Training and Firearm-Discharge Review Process. RAND MG-717-NYPD.
G. Ridgeway, G.L. Pierce, A.A. Braga, G. Tita, G. Wintemute, W. Roberts (2008). Strategies for Disrupting Illegal Firearm Markets: A Case Study of Los Angeles. RAND TR-512-NIJ.
G. Ridgeway (2007). Analysis of Racial Disparities in the New York Police Department's Stop, Question, and Frisk Practices, RAND TR-534-NYCPF.
T.L. Schell, G. Ridgeway, T.L. Dixon, S. Turner, K.J. Riley (2007). Police-Community Relations in Cincinnati: Year Three Evaluation Report. RAND TR-535-CC.
G. Ridgeway, T. Schell, K.J. Riley, S. Turner, T.L. Dixon (2006). Police-Community Relations in Cincinnati: Year Two Evaluation Report, RAND TR-445-CC.
A.R. Morral, D.F. McCaffrey, G. Ridgeway, A. Mukherji, C. Beighley (2006). The Relative Effectiveness of 10 Adolescent Substance Abuse Treatment Programs in the United States, TR-346.
K. Jack Riley, S. Turner, J. MacDonald, G. Ridgeway, T. Schell, J. Wilson, T.L. Dixon, T. Fain, D. Barnes-Proby, and B. Fulton (2005). Police-Community Relations in Cincinnati, RAND TR-333.
K.J. Riley, N. Rodriguez, G. Ridgeway, D. Barnes-Proby, N. Griffith Forge, V. Webb (2005). Just Cause or Just Because? Prosecution and Plea-Bargaining Resulting in Prison Sentences on Low-Level Drug Charges in California and Arizona, RAND MG-288-RWJ.
D.A. Relles, G. Ridgeway, G.M. Carter, M. Beeuwkes Buntin (2005). “Possible Refinements to the Construction of Function-Related Groups for the Inpatient Rehabilitation Facility Prospective Payment System,” TR-207-CMS.
L.M. Davis, K.J. Riley, G. Ridgeway, J.E. Pace, S. Cotton-Nelson, P. Steinberg, K. Damphousse, and B.L. Smith (2004). When Terrorism Hits Home: How Prepared Are State and Local Law Enforcement?, RAND MG-104-MIPT. Download research brief (pdf)
G. Ridgeway, K.J. Riley, J. Grogger (2004). “Analysis of Oakland's stop and search data,” Chapter 9 in Promoting Cooperative Strategies to Reduce Racial Profiling, Oakland Police Department.
G. Tita, K.J. Riley, G. Ridgeway, C. Grammich, A.F. Abrahamse, and P. Greenwood (2003). Reducing Gun Violence in East Los Angeles: Results from an Intervention, RAND MR-1764-NIJ. (Listed in the 2004 guide of University Press Books Selected for Public and Secondary School Libraries).
L.J. Hickman, T. Fain, S. Turner, G.K. Ridgeway, B. Raymond, and J.R. Lockwood (2003). Evaluation of the Impact of Seattle's DWLS Impound Law. WR-117-SEA.
G.M. Carter, M. Beeuwkes Buntin, O. Hayden, S.M. Paddock, D.A. Relles, G.K. Ridgeway, M.E. Totten, B.O. Wynn (2002). Analyses for the Initial Implementation of the Inpatient Rehabilitation Facility Prospective Payment System. MR-1500.
G. Ridgeway and J.M. MacDonald (2010). “Methods for Assessing Racially Biased Policing” in Race, Ethnicity and Policing: New and Essential Readings (S.K. Rice and M.D. White, eds.), New York University Press.
G. Ridgeway (2003). “Strategies and Methods for Prediction.” In The Handbook of Data Mining (N. Ye, ed.). Lawrence-Erlbaum Associates, Mahwah, New Jersey.
D. Madigan and G. Ridgeway (2003). “Bayesian Learning and Inference,” In The Handbook of Data Mining (N. Ye, ed.). Lawrence-Erlbaum Associates, Mahwah, New Jersey.
A. Morral, M. Reti, D. McCaffrey, G. Ridgeway (2001). “Phoenix Academy treatment outcomes: Preliminary findings from the adolescent outcomes study.” NIDA Research Monograph 182:111-112.
D. Madigan, N. Raghavan, W. DuMouchel, M. Nason, C. Posse, and G. Ridgeway (2001). “Instance Construction via Likelihood-Based Data Squashing,” In Instance Selection and Construction for Data Mining, (H. Liu and H. Motoda, eds.). Kluwer Academic Publishers.
G. Ridgeway (2020). “Transparency, Statistics, and Justice System Knowledge Is Essential for Science of Risk Assessment,” Harvard Data Science Review 2(1).
G. Ridgeway (2013). “Linking Prediction and Prevention,” Policy Essay, Criminology and Public Policy 12(3):545-550.
G. Ridgeway and P. Heaton (2011). “Save Money - Hire Police,” Commentary, Los Angeles Times. November 22, 2011.
G. Ridgeway and N. Lim (2009). “The Decline of Racial Profiling,” Commentary on cnn.com. July 30, 2009.
G. Ridgeway (2009). “Summary of the RAND Report on NYPD’s Stop, Question, and Frisk,” Testimony presented before the New York City Council Committee on Public Safety and Committee on Civil Rights on April 30, 2009, CT-329.
G. Ridgeway (2008). "Study Focuses on NYPD Racial Profiling." News & Notes 8 May 2008. Global Issues In Context.
K.J. Riley and G. Ridgeway (2007). “Police Need to Do a Better Job of Explaining Stop-and-Frisk,” Commentary, New York Daily News, December 6, 2007.
G. Ridgeway (2007). “Laws Are No Substitute to Vigilance,” Special to washingtonpost.com's Think Tank Town, April 18, 2007.
K.J. Riley and G. Ridgeway (2005). “Racial Profiling Won't Stop Terror,” Special to washingtonpost.com's Think Tank Town, October 11, 2006.
G. Ridgeway (2005). “Racial Profiling: Still a Worry,” Letter to the Editor, Washington Post, September 6, 2005, Page A24.
G. Ridgeway (2004). “Commentary: Racial Profiling, Not Always Black and White,” RAND Review 28(2):46.
K.J. Riley and G. Ridgeway (2004). “Measuring racial profiling by police,” Law Enforcement News.
G. Ridgeway and K.J. Riley (2004). “Police-search statistics don't lie, but statisticians can,” Op-ed, Dallas Morning News, February 22, 2004.
G. Ridgeway (2023). "Data Analysis of Priests and Brothers Substantiated as Child Sex Abusers Associated with the Illinois Dioceses," Report on Catholic Clergy Child Sex Abuse in Illinois, Office of the Attorney General, State of Illinois.
A. Chalfin, J.M. MacDonald, G. Ridgeway, R. Ryley (2022). "Crime Prevention Through Intelligence and Information Sharing: An Evaluation of an Information Intervention at the Philadelphia Police Department." Penn Crime and Justice Policy Lab Report.
N. Lim and G. Ridgeway (2015). "Progress After Ferguson? Good Ideas Need Good Implementation." Commentary on RAND.org.
G. Ridgeway (2013). "The Pitfalls of Prediction," NIJ Journal 271:34-40.
G. Ridgeway and D.F. McCaffrey (2007). “Comment on ‘Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data’ by Kang and Schafer,” Statistical Science 22(4):540-543.
G. Ridgeway (2007). “Review of All of Nonparametric Statistics by Larry Wasserman,” Journal of the American Statistical Association 102(477):389-389.
G. Ridgeway (April 15, 2006). Generalized Boosted Models: A guide to the gbm package. R vignette.
G. Ridgeway, D.F. McCaffrey, A.R. Morral (June 26, 2006). Toolkit for Weighting and Analysis of Nonequivalent Groups: A tutorial for the twang package. R vignette.
G. Tita, K.J. Riley, G. Ridgeway, and P.W. Greenwood (2005). Reducing Gun Violence: Operation Ceasefire in Los Angeles, NIJ Research Report NCJ 192378.
D. Madigan and G. Ridgeway (2004). Discussion of “Least Angle Regression” by B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani. Annals of Statistics 32(2).
D. Rusk, K. Lin, D. Swartz, and G. Ridgeway (2001). “Bayesian Updating of Damage Size Probabilities for Aircraft Structural Life-Cycle Management,” Proceedings of the 42nd Structures, Structural Dynamics, and Materials Conference - Non-Deterministic Approaches Forum.
G. Ridgeway (2000). Discussion of “Additive Logistic Regression: a Statistical View of Boosting,” by J. Friedman, T. Hastie, and R. Tibshirani. Annals of Statistics 28(2):393-400.
G. Ridgeway (2000). “Looking for Lumps: Boosting and bagging for density estimation,” In Proceedings of the International Meeting on Nonlinear Methods and Data Mining, (S. Borra and A. Di Ciaccio, eds.), pp. 11-25.
G. Ridgeway (2000). “Prediction in the Era of Massive Datasets,” Proceedings of Statistical Modelling for Data Mining, (P. Giudici, ed.), pp. 109-119.
G. Ridgeway (1999). “The state of boosting,” Computing Science and Statistics 31:172-181.
G. Ridgeway (1999). Generalization of Boosting Algorithms and Applications of Bayesian Inference for Massive Datasets, Ph.D. dissertation, Department of Statistics, University of Washington.
G. Ridgeway, D. Madigan, and T. Richardson (1999). “Boosting Methodology for Regression Problems,” Proceedings of Artificial Intelligence and Statistics '99 (D. Heckerman and J. Whittaker, eds.), pp. 152-161.
G. Ridgeway, T. Richardson, and D. Madigan (1999). Discussion of “Bump Hunting in High-Dimensional Data” by J. Friedman and N. Fisher. Statistics and Computing 9(2):150-152.
J.W. O'Kane, G. Ridgeway, and D. Madigan (1999). “Statistical Analysis of Clinical Variables to Predict the Outcome of Surgical Intervention in Patients with Knee Complaints.” Technical report.
G. Ridgeway and S. Altschuler (1998). “Clustering Finite Discrete Markov Chains,” Proceedings of the Section on Physical and Engineering Sciences, pp. 228-229.
G. Ridgeway (1997). “Finite discrete Markov process clustering,” Technical report MSR-TR-97-24, Microsoft Research, September 1997.
G. Ridgeway (1996). “Distributed Open Resources for Understanding Statistics - DORUS,” September 1996.
Fast Doubly Robust Estimation (fastDR) - Implements a fast and easy DR treatment effect estimation method using gbm for nonparametric propensity scoring and weighted generalized linear models for the outcome model. Development site is https://github.com/gregridgeway/fastDR
Generalized Boosted Regression Models (gbm) - Implements variations of Freund and Schapire's AdaBoost algorithm and Friedman's Gradient Boosting Machine. Its functionality includes least squares, least absolute deviations, logistic, AdaBoost exponential loss, Poisson, and Cox proportional hazard regression models. The software consists of a C++ engine, an R frontend, and is distributed freely as part of the R statistical environment. Development site is https://github.com/gbm-developers/gbm
Toolkit for Weighting and Analysis of Nonequivalent Groups (twang) - This package offers functions for propensity score estimating and weighting, nonresponse weighting, and diagnosis of the weights
2025
“Landscape of Criminal Justice Data Sources” March, American Statistical Association, Committee on Law and Justice Statistics public webinar.
2024
“Which police officers escalate force?” September, University of Tennessee - Memphis, Biostatistics seminar series.
2023
“Conditional Likelihood for Use-of-Force,” November, Ingram Olkin Forum: Statistical Challenges in the Analysis of Police Use of Force, Carleton College, Northfield, MN.
“Scorecards, Benchmarking, and the Search for Unusual Hospitals, Communities, and Cops,” July, Center for Statistical Research and Methodology, United States Bureau of the Census.
"Conditional likelihood and use-of-force," March, University of Massachusetts, Lowell.
“Scorecards, Benchmarking, and the Search for Unusual Hospitals, Communities, and Cops,” February, Penn Association of Senior and Emeritus Faculty (PASEF).
2021
“Officer Features and Shooting Risk,” March, ENAR, virtual.
“Modern Benchmarking and the Search for Unusual Hospitals, Communities, and Cops,” March, Council of State Governments.
“Exploring a RAND Approach to Measuring Racial Disparity: A Case Example and Dialogue,” January, Center to Advance Racial Equity Policy, RAND Corporation.
2020
“Modern Benchmarking and the Search for Unusual Hospitals, Communities, and Cops,” Keynote, Health Policy Statistics Section, August, Joint Statistical Meetings, virtual.
“Officer Features and Shooting Risk,” August, August, Joint Statistical Meetings, virtual.
2019
“Officer Features and Shooting Risk,” June, Inaugural Ingram Olkin S3 Forum: Gun Violence - The Statistical Issues, American Statistical Association, Alexandria, VA.
“Statistics of Police Shootings and Racial Profiling,” April, Center for Practice and Research at the Intersection of Information, Society, and Methodology, New York University, New York, NY.
“Racial Profiling, Bad Cops, and Police Shootings,” March, Department of Statistics, Iowa State University, Ames, IA.
“Racial Profiling, Bad Cops, and Police Shootings,” February, Natural Sciences Colloquium, Colgate University, Hamilton, NY.
“Officer Features and Shooting Risk,” February, AAPSS Workshop on Police Shootings, University of Pennsylvania, Philadelphia, PA.
2018
“Criminological Data Science,” September, Fields Institute, University of Toronto, Toronto, Canada.
2017
“Racial Profiling, Bad Cops, and Police Shootings,” November, Social and Decision Analytics Lab, Virginia Tech, Arlington, VA.
“Criminal Justice Predictions,” September, National Academy of Sciences, Workshop on Predictive Analytics for Human Services and Education, Washington, DC.
“Computation and Criminology,” September, Current Challenges in Computing: Computational Social Science (CCubed), Napa, CA.
“Officer Risk Factors Associated with Police Shootings: A Matched Case-Control Study,” February, American Association for the Advancement of Science (AAAS), Boston, MA.
“Propensity score analysis with survey weighted data,” March, Eastern North American Region of the Biometric Society (ENAR), Washington, DC.
“Statistical Applications in Crime and Justice,” March, Southern California chapter of the American Statistical Association (SCASA) Annual Applied Statistics Workshop, Duarte, CA.
2016
“Racial Profiling, Bad Cops, and Police Shootings,” March, Department of Statistics Colloquium, University of Pennsylvania, Philadelphia, PA.
“Effect of Rail Transit on Crime: A Study of Los Angeles from 1988-2014,” January, Population Studies Center Colloquium, Philadelphia, PA.
2015
“Criminal justice system benchmarking: An approach for studying sentencing disparities in New York State,” October, New York Sentencing Commission, New York, NY.
“Transit systems and their effect on crime in communities: Three decades of crime and transit in Los Angeles,” November, Association for Public Policy Analysis and Management, Miami, FL.
“Benchmarking Justice Performance,” June, Research Coordination Network on Understanding Guilty Pleas, Albany, NY.
“Discussion of Plea Bargaining in Wisconsin,” June, Research Coordination Network on Understanding Guilty Pleas, Albany, NY.
“Advancing forensic science at the National Institute of Justice,” April, Committee on Strengthening Forensic Science at the National Institute of Justice, National Academy of Sciences, Washington, DC.
2014
“Estimating officer risk factors for police shootings,” December, Department of Criminology, University of Pennsylvania, Philadelphia.
2012
“Methods for racial profiling analysis,” March, Claremont Colleges, Claremont.
2011
“Analysis in Support of Public Safety,” September, Contemporary Challenges for Strategic Planning of Public Safety, Ministerio de Seguridad, Buenos Aires, Argentina.
“Racial Profiling Analysis in a Post-Beer Summit World,” March, Google Tech Talks, Santa Monica. (video)
2010
“What research can do for policing,” September, International Association of Law Enforcement Planners, Scottsdale.
“Police Performance and the Analysis of Racial Profiling,” September, International Association of Law Enforcement Planners, Scottsdale.
“What research can do for policing,” April, Southern California Chiefs of Police Association, Palm Springs.
2009
“Methods for racial profiling analysis,” October, University of Pennsylvania, Philadelphia, Department of Criminology.
“Operación cese al fuego, Los Ángeles,” Crimen organizado, pandillas y tráfico de armas, triángulo de inseguridad, September, CEDAN - Centro de Diálogo y Análisis Sobre América del Norte, Tecnológico de Monterrey, Campus Ciudad de México.
2008
“Methods for racial profiling analysis,” October, University of California, Santa Barbara, Department of Probability and Statistics.
“A Discussion of Disease Prediction and Model Validation,” Discussion for an invited session at the Joint Statistical Meetings, August, Denver.
“Racial Disparities in the New York Police Department's Stop, Question, Frisk Practices,” February, The 2nd Fyfe Police Accountability Conference: Stop and Frisk Policy, Practice and Research, John Jay College, New York.
2007
“The criminal purchase of firearm ammunition,” March, Association for Criminal Justice Research, Sacramento.
“Methods for racial profiling analysis,” February, University of Cincinnati.
“Improving Community-Police Relations: Year 2 Results,” January, Testimony to the Public Safety Subcommittee of the Cincinnati City Council.
2006
“Internal benchmarking using propensity scores for detecting racial bias in police traffic stops,” November, American Society of Criminology, Los Angeles.
“Internal benchmarking using propensity scores for detecting racial bias in police traffic stops,” September, Junior Empirical Legal Scholars Conference, Cornell Law School.
“Racial profiling,” February, UCLA Biostatistics Seminar Series.
2005
“Assessing the effect of race bias in post-traffic stop outcomes using propensity scores,” November, American Society of Criminology, Toronto, Canada.
“Ammunition Purchases in the City of Los Angeles,” November, American Society of Criminology, Toronto, Canada.
“Model Selection for Estimating Propensity Scores,” June, WNAR Conference, Fairbanks, AK.
“Analysis of Post-Stop Outcomes: Citations, Search, and Stop Duration,” April, Fourth National Symposium on Racial Profiling, Rosemont, IL.
“Strategies for the analysis of observational data,” January, UCLA Division of Geriatrics, Los Angeles, CA.
2004
“Just Cause or Just Because? Prosecution and Plea Bargaining among Low-Level Drug Offenders in California,” November, American Society of Criminology, Nashville, TN.
“Not Always Black and White: More Credible Approaches for Detecting Racial Profiling,” November, RAND Board of Trustees Meeting, Santa Monica, CA.
“Racial Profiling: Not Always Black and White,” October, Statistics and Computer Science Seminar Series, University of California, Irvine, CA.
“Racial Profiling: Not Always Black and White,” September, One RAND Colloquium, Washington, DC.
“Racial Profiling: Not Always Black and White,” September, Biostatistics Seminar Series, Johns-Hopkins University, Baltimore, MD.
“Racial Profiling: Not Always Black and White,” September, RAND Civil Justice Board of Overseers Meeting, Washington, DC.
“Post-processing boosted regression models: model and variable selection,” Invited session at the Joint Statistical Meetings, August, Toronto, Canada. Download slides pdf
“Enhancing Evidence: Causal Modeling Using Observational Treatment Data,” with Dan McCaffrey and Andrew Morral. Research Methodology Workshop at Complexities of Co-Occurring Conditions, June, Washington, DC.
“Racial Profiling: Not Always Black and White,” June, Congressional briefing, Washington, DC.
“Estimating the causal effect of time in treatment using propensity scores,” with Dan McCaffrey and Andrew Morral. Poster presentation at the 2004 meeting of the College on Problems of Drug Dependence, June, San Juan, Puerto Rico. Download poster pdf
“Racial Profiling: Not Always Black and White,” May, One RAND Colloquium, Santa Monica, CA.
“Statistics, Machine Learning, and Public Policy Analysis - Propensity score analysis of observational data,” April, Stern Business School, New York University, New York. Download slides pdf
“Retooling propensity score techniques with machine learning for evaluating solutions to the Los Angeles drug abuse epidemic,” March, DIMACS Working Group on Data Mining and Epidemiology, Rutgers University, Piscataway, NJ. Download slides
2003
“A Bayesian assessment of the impact of a gun violence reduction initiative in Hollenbeck,” September, The 7th Case Studies in Bayesian Statistics Workshop, Carnegie Mellon University, Pittsburgh, PA. Poster.
“Propensity scores and causal analysis of observational data,” May, Division of General Internal Medicine & Health Services Research Seminar Series, UCLA, Los Angeles, CA. Download slides pdf
2002
“Bayesian analysis of massive datasets via particle filters,” November, Department of Statistics, UCLA, Los Angeles, CA. Download slides pdf
“Generalized boosted modeling with application to propensity scores,” October, Department of Statistics and Actuarial Science, University of Central Florida, Orlando, FL. Download slides pdf
“Bayesian analysis of massive datasets via particle filters,” October, Department of Statistics, Florida State University, Tallahassee, FL. Download slides pdf
“Bayesian analysis of massive datasets via particle filters,” July, The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2002), Edmonton, Canada. Download slides pdf
“Statistical Techniques for the Implementation of a Prospective Payment System for Inpatient Rehabilitation,” June, Academy for Health Services Research and Health Policy Annual Research Meeting, Washington, DC. Invited paper for the session on Medicare Reimbursement for Post Acute & Long Term Care: Research Informing Policy.
“Data Mining for the Development of Public Policy,” April, 34th Symposium on the Interface of Computing and Statistics (Interface 2002), Montreal, Canada. Invited paper for the KDD Featured Session on Data Mining.
“Predicting Dropouts: Boosting Algorithms and the Identification of Academically At-Risk Youth,” (with Paul LePore) February, University of Washington, Center for Statistics and the Social Sciences (CSSS), Seattle, Washington. CSSS Seminar Series. Abstract
2001
“Data mining and the Implementation of a Prospective Payment System for Inpatient Rehabilitation,” December, 2001 International Conference on Health Policy Research, Boston. Invited paper for the session on Data Mining for Health Services Research. Download pdf
“Strategies for Boosting and Prediction,” October, Department of Statistics, California Polytechnic State University, San Luis Obispo. Download pdf
“Strategies for Boosting and Prediction,” May, Department of Statistics, University of California Riverside. Download pdf
“Hypothesis Screening for Serologic Characteristics Associated with Prednisone Using SurroMed Technology,” April, SurroMed, Mountain View, CA.
2000
“Strategies for Boosting and Prediction,” December, Information and Computer Sciences, University of California Irvine. Download pdf
“Strategies for Boosting and Prediction,” Statistics and Applied Probability Seminar, November, University of California Santa Barbara. Download pdf
“Prediction in the Era of Massive Datasets,” Workshop on Statistics and Data Mining (SDM2000), October, Pavia, Italy. Invited tutorial presentation. Download pdf
“Looking for Lumps: Boosting and Bagging for density estimation,” International Meeting on Nonlinear Methods and Data Mining (NMDM 2000), Rome, Italy, September. Invited presentation. Download pdf
“Data mining,” RAND short course series, Santa Monica, CA, September.
“Modern prediction methods using Bagging and Boosting,” Center for Statistics and the Social Sciences, February, Seattle, Washington. CSSS Seminar Series.
1999
“Combining Estimators to Improve Performance: Bundling, Bagging, Boosting, and Bayesian Model Averaging,” (with John Elder) Fifth International Conference on Knowledge Discovery and Data Mining (KDD-99), August, San Diego, California. Tutorial presentation. Download pdf
“The state of boosting,” 31st Symposium on the Interface: Models, Predictions, and Computing (Interface 1999), June, Schaumburg, Illinois. Invited talk for the session on Data Mining.
“A Method for Bayesian Inference in Massive Datasets,” Boeing, March, Bellevue, Washington. Invited seminar presentation.
“Boosting Methodology for Regression Problems,” Seventh International Workshop on Artificial Intelligence and Statistics (Uncertainty 1999), January, Fort Lauderdale, Florida. Oral presentation as part of the contributed program.
1998
“Interpretable Boosted Naïve Bayes Classification,” Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), August, New York, New York. Plenary presentation on classification research.
“Boosting and the naïve Bayes classifier,” Microsoft Corporation, July, Redmond, Washington. Invited seminar presentation.
“Application of finite discrete Markov process clustering for understanding Web usage,” Presented at the 1998 Spring Research Conference on Statistics in Industry and Technology (SRC98), Section on Physical and Engineering Sciences, June, Santa Fe, New Mexico. Oral presentation as part of the contributed program.
1997
Mathematical Techniques to Mine Massive Data Sets (M3D), August, Chicago, Illinois. Invited participant.
1996
Second International Conference on Knowledge Discovery and Data Mining (KDD-96), August, Portland, Oregon. Conference participant.
2021 to 2025 - Editor-in-chief, Journal of Quantitative Criminology (w/ John MacDonald)
2023 to 2024 - Chair, American Statistical Association, Committee on Law and Justice Statistics
2021 to 2024 - Committee member, Policy Committee of the American Society of Criminology
2018 to 2020 - Associate editor, Journal of Quantitative Criminology
2016 to 2018 - Editorial board, Journal of Quantitative Criminology
2019 to 2020 - Committee member, Nominations Committee of the American Society of Criminology
2009 to 2010 - Committee member, ASA Committee on Law and Justice Statistics
2004 to 2008 - Associate Editor, Bayesian Analysis
2004 to 2008 - Action Editor, Journal of Machine Learning Research
2000 to 2007 - Associate Editor, Journal of Computational and Graphical Statistics
2025
External review committee, Center for Criminal and Sociolegal Studies, University of Toronto
Program committee – ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), June, Athens, Greece
2023
Social Sciences Area Chair – ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), June, Chicago
Analyst, Report on Catholic Clergy Child Sex Abuse in Illinois, Office of the Illinois Attorney General (report)
Analyst, Bailey v. City of Philadelphia, Case 2:10-CV-05952-SD (2023-present)
2020
Program committee - ACM-IMS Foundations of Data Science (FODS-2020), October, Seattle, WA
Analyst, Chicago PD Consent Decree, Investigation of the Chicago Police Department, Office of the Illinois Attorney General, Case 1:17-CV-06260 (2020-2023)
Analyst, Investigation of the Minneapolis PD, Minnesota Department of Human Rights, Case 27-CV-23-4177 (2020-2022)
2019
Organizer, Inaugural Ingram Olkin S3 Forum: Gun Violence - The Statistical Issues
Member, External review panel for the Center for Statistics and Applications in Forensic Evidence, National Institute of Standards and Technology
Member, Research Advisory Board, Police Executive Research Forum
2017
Analyst, Baltimore PD Consent Decree, US Department of Justice, Civil Rights Division, Case 1:17-CV-00099-JKB (2017-present)
Analyst, Investigation of the Chicago Police Department, Office of the Illinois Attorney General, Case 1:17-CV-06260 (2017-2019)
2016
Analyst, Investigation of the Chicago Police Department, US Department of Justice, Civil Rights Division (2016-2017)
Analyst, Maricopa County Sheriff Consent Decree, US Department of Justice, Civil Rights Division, Case 2:07-CV-02513-GMS (2016-present)
2011
California Attorney General's Guns, Gangs, and Organized Crime Working Group
2007
California Department of Justice, Firearms Division Committee on the AFS Redesign
2006
Program committee - 12th International Conference on Knowledge Discovery and Data Mining (KDD-2006), August, Philadelphia.
Vice-chair - 2006 SIAM International Conference on Data Mining (SDM-2006), April. Bethesda, MD.
2005
Program committee - The 22nd International Conference on Machine Learning (ICML-2005), August. Bonn, Germany.
Program committee - 11th International Conference on Knowledge Discovery and Data Mining (KDD-2005), August, Chicago.
Program committee - 2005 SIAM International Conference on Data Mining (SDM-2005), April. Newport Beach, CA.
2004
Program committee - Tenth International Conference on Knowledge Discovery and Data Mining (KDD-2004), August, Seattle.
Program committee - Fourth SIAM International Conference on Data Mining (SDM-2004), April, Kissimmee, FL.
2003
Program committee - 2003 IEEE International Conference on Data Mining (ICDM-2003), November, Melbourne, Florida.
Chair of the analysis panel for the Centers for Disease Control and Prevention on the analysis plan for the Anthrax Vaccine Research Program, October, Atlanta, GA.
Program committee - Ninth International Conference on Knowledge Discovery and Data Mining (KDD-2003), August, Washington DC.
Program committee - Third SIAM International Conference on Data Mining (SDM-2003), May, San Francisco, CA.
2002
Participant - Workshop on the statistical analysis of massive data streams, National Academies of Sciences, Committee on Applied & Theoretical Statistics, December.
Program committee - The 2002 IEEE International Conference on Data Mining (ICDM02), December, Maebashi City, Japan.
Program committee - Eighth International Conference on Knowledge Discovery and Data Mining (KDD-2002), July, Edmonton, Alberta, Canada.
Program committee - Second SIAM International Conference on Data Mining (SDM-2002), April, Arlington, VA.
2001
Panelist - Anthrax Vaccine Research Program, Centers for Disease Control and Prevention (CDC), September, Atlanta, GA.
Program committee - Seventh International Conference on Knowledge Discovery and Data Mining (KDD-2001), August, San Francisco, CA.
Program committee - The Eighteenth International Conference on Machine Learning (ICML-2001), June. Williamstown, Massachusetts.
Organizing and session chair - Session on massive datasets, Interface 2001, June, Costa Mesa, CA.
Member of the Advisory Board for the Handbook of Data Mining
Panelist - National Science Foundation initiative on Information Technology Research (NSF ITR).
Program committee - Eighth Workshop on Artificial Intelligence and Statistics, January, Key West, FL.
2000
Program committee - Sixth International Conference on Knowledge Discovery and Data Mining (KDD-2000), August, Boston, MA.
1999
Session chair - Session on mining temporal data, KDD-1999, August, San Diego, CA.
1997
Mathematical Techniques to Mine Massive Data Sets (M3D), August, Chicago, Illinois. Invited participant.
1996
Second International Conference on Knowledge Discovery and Data Mining (KDD-96), August, Portland, Oregon. Conference participant.
Criminal Justice Data Analytics (CRIM4002/6002)
Machine Learning for Social Science (CRIM4012/6012)
2024 John Gyourko, Credit Checks and Credit Freezes for Children and Youth in Foster Care: Tracking, Remediating, and Preventing Identity Fraud Victimization (Ph.D. committee member)
2023 Alex Knorre, Essays on Gun Violence in the Unites States (Ph.D. committee member)
2023 David Mitre Becerril, The Effects of Neighborhood Investments on Public Safety (Ph.D. committee member)
2022 Viet Nguyen, Understanding the trade-offs for less punitive sentencing practices (Ph.D. committee member)
2020 Ruth Moyer (2019-2020 Dean’s Scholar), Changes Within the Urban Environment and Their Effect on Crime and the Criminal Justice System (Ph.D. committee chair)
2020 Jacob Kaplan, The Effect of Lighting and Building Security on Crime (Ph.D. committee member)
2020 Yuhao Wu, Empirical Studies of the Effects of Legal Reforms on the Criminal Justice System in China (Ph.D. committee member)
2020 Li Sian Goh, The Policy Evaluation of Measures to Reduce Police Use of Force (Ph.D. committee member)
2018 Rebecca Umbach, Etiology and Treatment of Neuropsychological and Cognitive Deficits in Relation to Antisocial Behavior (Ph.D. committee member)
2007 Brent Fulton, Incorporating Traffic Enforcement Racial Profiling Analyses into Police Department Early Intervention Systems (Ph.D. committee member)
2007 Arnab Mukherji, Agrarian Households in Semi-Arid Tropics: Evaluating Policy Options (Ph.D. committee member)
2006 Ben Vollaard, Police Effectiveness: Measurement and Incentives (Ph.D. committee member)
2005 Matt Dixon, The Costs of Aging Aircraft: Insights from Commercial Aviation (Ph.D. committee member)
2004 Joshua Weed, Effective Capital Provision Within Government (Ph.D. committee chair)