Dr. Fawn Ngo USFSM
Dr. Fawn Ngo USFSM
Fawn T. Ngo is an Associate Professor of Criminology at the University of South Florida Sarasota-Manatee. She received her B.A. in Criminology, Law and Society from the University of California at Irvine, her M.S. in Criminal Justice from the California State University at Long Beach, and her Ph.D. in Criminology and Criminal Justice from the University of Maryland. She worked as a Research Associate in the Research and Planning Unit at the Westminster Police Department in Orange County, California, and as the Associate Academic Director for the Master Criminal Justice Distance Learning Program at the University of Cincinnati.
Dr. Ngo’s research areas include criminological theory, interpersonal violence, cyber crime, and predictive analytic applications in criminology and criminal justice. Her latest research focuses on the comparative performance of conventional statistical methods and machine learning and data mining techniques in predicting inmate misconduct. Her other publications examine gender differences in stalking acknowledgment and coping behaviors, the effectiveness of formal and informal responses to stalking, and stalking in same-sex and opposite-sex contexts. She has published several papers examining the efficacy of self-control theory, routine activity theory, differential social control theory, general strain theory, and gender/general strain theory in accounting for crime, delinquency, and victimization.
Dr. Ngo is an evaluation consultant for Gulfcoast Legal Services, Inc., and Selah Freedom, Inc. She is also a member of the Editorial Board of the International Journal of Cyber Criminology, a member of the Advisory Committee of the Visitor Harassment Research Unit at Purdue University, and the USF Institutional Representative of the American Council on Education (ACE) Women’s Network of Florida.
She is the recipient of 2014 Student Government Association Outstanding Professor Award, 2015 Faculty Senate Excellence in Research Award, 2017 University of South Florida Women in Leadership and Philanthropy Faculty Research Award, and 2018 Faculty Senate Excellence in Teaching Award.
Ngo, Fawn T. (2019). Stalking Victimization: Examining the Impact of Police Action and Inaction on Victim-Reported
Outcome. Journal of Police and Criminal Psychology, 1-11. DOI:10.1007/s11896-019-09320-x.
Ngo, Fawn T., Grosholz, Jessica, & Stone, Sandra (2019). “Informal Labeling and School Victimization: An Elaboration of Labeling Theory and Preliminary Results.” In G. A. Crews (Ed.). Handbook of Research on School Violence in American K-12 Education (pp. 139-153). Hershey, PA: IGI Global.
Ngo, Fawn T. (2018) “Stalking: An Examination of the Correlates of Subsequent Police Responses.”
Policing: An International Journal of Police Strategies and Management. DOI: https://doi.org/10.1108/PIJPSM-12-2017-0157
Ngo, Fawn T. (2018). “Correlates of Informal and Formal Coping Strategies in Same-Sex and Opposite-Sex Stalking Contexts.” International Journal of Criminal Justice Sciences, 13, 230-246. DOI: http://www.sascv.org/ijcjs/pdfs/NgoVol13Issue1IJCJS.pdf
Ngo, Fawn T., K. Jaishankar, and Jose R. Agustina (2017). “Sexting: Current Research Gaps and Legislative Issues. Introduction to the Special Issue.” International Journal of Cyber Criminology, 11, 161-168. DOI: https://www.cybercrimejournal.com/NgoJaiJoseintroductionvol11issue2IJCC2017.pdf
Ngo, Fawn T. and Raymond Paternoster (2016). “Toward an Understanding of the Emotional and Behavioral Reactions to Stalking: A Partial Test of General Strain Theory.” Crime & Delinquency, 62, 703-727.
Ngo, Fawn T. (2014). “Toward a Comprehensive Model on Stalking Acknowledgment: A Test of Four Models.” Crime & Delinquency, 60, 1158-1182.
Ngo, Fawn T. and Raymond Paternoster (2014). “Contemporaneous and Lagged Effects of Life Domains and Crime: A Test of Agnew’s General Theory of Crime and Delinquency.” Journal of Criminology. Article ID 320486, http://dx:doi.org.10.1155/2014/320486.
Ngo, Fawn T., Ramakrishna Govindu, and Anurag Agarwal (2014). “Assessing the Predictive Utility of Logistic Regression, Classification and Regression Tree, Chi-Squared Automatic Interaction Detection, and Neural Network Models in Predicting Inmate Misconduct.” American Journal of Criminal Justice. DOI: 10.1007/s12103-014-9246-6.
Ngo, Fawn T. and Raymond Paternoster (2011). “Cybercrime Victimization: An Examination of Individual- and Situational-Level Factors.” International Journal of Cyber Criminology, 5, 773-793. DOI: https://www.cybercrimejournal.com/ngo2011ijcc.pdf.