Greg Ridgeway

University of Pennsylvania
Philadelphia, PA
(215) 573-9109
gridge@upenn.edu

Education

Professional Experience

8/2014 to present Department of Criminology and Department of Statistics, University of Pennsylvania
   Associate Professor (8/2014-present)
   Affiliations:
      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)
1/2013 to 7/2014 National Institute of Justice
   Acting Director (1/2013-7/2014)
   Deputy Director, Senior Executive Service (7/2012-7/2014)
7/2000 to 6/2012 RAND Corporation
   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 (7/2001-5/2003)
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
9/1993 to 9/1995 California Department of Mental Health, Atascadero State Hospital, Clinical Safety Project
8/1994 to 9/1995 UC Berkeley Cooperative Extension, Integrated Hardwood Range Management Program

Awards

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.”

RAND 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

Patent Awards

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.

Grants and Contracts

2016 “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 Principal Investigator, “A Proactive Approach to Reducing the Incidence of Police Misconduct, Real and Perceived,” MacArthur Foundation, 10-97402-000-HCD, $245,000 (in collaboration with Chicago PD, Independent Police Review Authority, Chicago Mayor's Office).
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.

Publications

In preparation

G. Ridgeway. “Methods for benchmarking racial disparities in sentencing.”

G. Ridgeway, Breanne Cave, and Julie Grieco. “A Semiparametric Model for Estimating the Relationship Between Officer Features and the Number of Rounds Discharged in Police Shootings.”

D.B. Esposito, R. Yin, L. Russo, G. Ridgeway, W. Finkle, S. Goldstein, K. Mittal, B. Walsh, J.G. Lyons, S. Lanes. “Development and validation of an algorithm to identify endometrial hyperplasia in US administrative claims data.”

Under review

G. Ridgeway, M. Nørgaard, T.B. Rasmussen, W.D. Finkle, L. Pedersen, H.E. Bøtker, and H.T. Sørensen. “Benchmarking Hospitals with Application to Cardiovascular Mortality and Readmission Rates in Danish Hospitals.”

G. Ridgeway, J. Grogger, R.A. Moyer, and J.M. MacDonald. “Effect of Gang Injunctions on Crime: A Study of Los Angeles from 1988-2014.”

Peer-reviewed articles

G. Ridgeway, J. Grogger, R.A. Moyer, and J.M. MacDonald (to appear). “Effect of Gang Injunctions on Crime: A Study of Los Angeles from 1988-2014,” Journal of Experimental Criminology.

R. Moyer and G. Ridgeway (to appear). “The Effect of Outpatient Methadone Maintenance Treatment Facilities on Place-Based Crime,” Journal of Experimental Criminology.

R. Moyer, J.M. MacDonald, G. Ridgeway, and C. Branas (to appear). “Effect of Remediating Blighted Vacant Land on Shootings: A Citywide Cluster Randomized Trial,” American Journal of Public Health.

O. Mitchell and G. Ridgeway (to appear). “Assessing the Fairness and Effectiveness of Bicycle Stops in Tampa,” Police Quarterly.

J. Lyons, V. Desai, Y. Xu, G. Ridgeway, W. Finkle, P. Solari, S. Sullivan, S. Lanes (to appear). “Development and Validation of an Algorithm for Identifying Patients with Hemophilia A in an Administrative Claims Database,” Value in Health.

C.E. Loeffler, J.M. Hyatt, and G. Ridgeway (to appear). “Measuring Self-Reported Wrongful Convictions Among Prisoners,” Journal of Quantitative Criminology.

G. Ridgeway (2019). “Experiments in Criminology,” Annual Review of Statistics and Its Applications 6.

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.

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.), pp. 101-104.

Refereed reports

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.


Book chapters

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.


Commentaries and letters

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.


Discussions, conference papers, and other work

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.

Software development

Presentations

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.

Professional activities

2018 to present - Associate editor, Journal of Quantitative Criminology

2016 to present - Editorial board, Journal of Quantitative 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

Reviewer for
  • Proceedings of the National Academy of Science
  • Criminology
  • Journal of Quantitative Criminology
  • Justice Quarterly
  • Crime and Delinquency
  • Journal of Empirical Legal Studies
  • Journal of Legal Studies
  • Journal of Experimental Criminology
  • Psychological Methods
  • PLoS One
  • Annals of Statistics
  • Annals of Applied Statistics
  • Journal of the American Statistical Association
  • Journal of the Royal Statistical Society, Series A
  • Biometrics
  • Review of Economics and Statistics
  • Statistics and Computing
  • Statistical Science
  • Springer Statistics publications
  • Computational Statistics and Data Analysis
  • Computational Intelligence
  • Machine Learning
  • Knowledge and Information Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • Ecology
  • The National Science Foundation's Statistics Program in the Division of Mathematical Sciences
    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.

    Teaching experience and student advising

    Year Course Institution Enrollment
    2018 Statistics for Social Science University of Pennsylvania 27
    Criminal Justice Data Analytics
    33
    Criminology in Practice 17
    2017 Statistics for Social Science University of Pennsylvania 15
    Criminal Justice Data Analytics 36
    Criminology in Practice 19
    2016 Statistics for Social Science University of Pennsylvania 18
    Criminal Justice Data Analytics
    23
    Criminology in Practice
    16
      Research Methods  20
    2015 Criminology in Practice University of Pennsylvania 23
    Criminal Justice Data Analytics
    32
    Criminal Justice Data Analytics
    14
    2014 Criminology in Practice University of Pennsylvania 12
    2011 Applied Statistics UC Irvine 39
    2010 Applied Statistics UC Irvine 25
    2009 Empirical Analysis Pardee RAND Graduate School 23
    Applied Statistics UC Irvine 21
    2008 Empirical Analysis Pardee RAND Graduate School 21
    Applied Statistics UC Irvine 20
    2007 Empirical Analysis Pardee RAND Graduate School 18
    Applied Statistics UC Irvine 21
    2006 Modern Prediction and Modeling Methods Pardee RAND Graduate School 19
    Empirical Analysis Pardee RAND Graduate School 20
    Applied Statistics UC Irvine 24
    2005 Applied Statistics UC Irvine 21
    2004 Calculus Pardee RAND Graduate School 15
    Modern Prediction and Modeling Methods
    12
    2003 Mathematics for Policy Analysis Pardee RAND Graduate School 15
    2002 Modern Prediction and Modeling Methods Pardee RAND Graduate School 6
    2000 Basic Statistics University of Washington 150
    Statistical Computing
    10
    1999 Basic Statistics University of Washington 150
    Introduction to Mathematical Statistics
    45
    1998 Probability and Statistics in Engineering and Science University of Washington 74

    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)

    2000 David T. Rusk (UW), Reliability-based methods applied to the design of damage tolerant aircraft structures (Master committee member)

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