Hannah Wu

Hannah Xiaoyun Wu, Ph.D.

Research Data Scientist

Research Division


Dr. Hannah Xiaoyun Wu is a Research Data Scientist at the National Policing Institute. Her research interests include policing, evidence-based program evaluation, and the innovative application of quantitative methods and data analysis to challenging criminological problems. Her recent work focuses on understanding the efficacy of everyday proactive police work in reducing crime and accidents and the use of social media by law enforcement agencies in response to critical social issues. She has been involved in several randomized and quasi-experiments and is proficient with analyzing data of various types (e.g., cross-sectional, longitudinal, panel, survey, and GPS location data).

Dr. Wu received her M.A. and Ph.D. in Criminology, Law and Society from George Mason University. Prior to joining the NPI, she was a post-doctoral research fellow at the Center for Evidence-Based Crime Policy at George Mason University and Managing Editor of Criminology and Public Policy.


Wu, X., Lum, C., & Koper, C. (2021). Do everyday proactive policing activities reduce vehicle crashes? Examining a commonly held law enforcement belief using a novel method. Journal of criminal justice76, 101846.

Wu, X., Koper, C., & Lum, C. (2021). Measuring the Impacts of Everyday Police Proactive Activities: Tackling the Endogeneity Problem. Journal of Quantitative Criminology, 1-21.

Lum, C., Koper, C. S., & Wu, X. (2021). Can We Really Defund the Police? A Nine-Agency Study of Police Response to Calls for Service. Police Quarterly, 10986111211035002.

Koper, C. S., Lum, C., Wu, X., Johnson, W., & Stoltz, M. (2021). Do license plate readers enhance the initial and residual deterrent effects of police patrol? A quasi-randomized test. Journal of Experimental Criminology, 1-22.

Koper, C. S., Lum, C., Wu, X., & Hegarty, T. (2021). The long-term and system-level impacts of institutionalizing hot spot policing in a small city. Policing: A Journal of Policy and Practice, 15(2), 1110-1128.

Koper, C. S., Wu, X., & Lum, C. (2021). Calibrating Police Activity Across Hot Spot and Non-Hot Spot Areas. Police Quarterly, 1098611121995809.

Wu, X., & Lum, C. (2020). The practice of proactive traffic stops. Policing: An International Journal, 43(2), 229-246.

Lum, C., Koper, C. S., Stoltz, M., Goodier, M., Johnson, W., Prince, H., & Wu, X. (2020). Constrained Gatekeepers of the Criminal Justice Footprint: A Systematic Social Observation Study of 9-1-1 Calltakers and Dispatchers. Justice Quarterly37(7), 1176-1198.

Koper, C. S., Lum, C., Wu, X., & Fritz, N. (2020). Proactive policing in the United States: a national survey. Policing: An International Journal.

Lum, C., Koper, C. S., Wu, X., Johnson, W., & Stoltz, M. (2020). Examining the empirical realities of proactive policing through systematic observations and computer-aided dispatch data. Police Quarterly23(3), 283-310.

Wooditch, A., Fisher, R., Wu, X., & Johnson, N. J. (2020). P-value problems? An examination of evidential value in criminology. Journal of Quantitative Criminology36(2), 305-328.

Wooditch, A., Sloas, L. B., Wu, X., & Key, A. (2020). Outcome reporting bias in randomized experiments on substance use disorders. Journal of Quantitative Criminology36(2), 273-293.

Wu, X., Grieco, J., Wire, S., Wooditch, A., & Nichols, J. (2018). Trends in police research: a cross-sectional analysis of the 2010-2014 literature. Police Practice and Research19(6), 609-616.

Wu, X., & Lum, C. (2017). Measuring the spatial and temporal patterns of police proactivity. Journal of quantitative criminology33(4), 915-934.

Areas of Focus

  • Program evaluation
  • Quantitative methods
  • Experimental methodology

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