Note
The funds for preparation of this final report were provided by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice.
Résumé
This project report seeks to contribute to a nascent research trend towards the development of "specialized data sets on specific subsets of terrorism cases" which represents the third major development in the empirical study of terrorism. This contribution will be done by engaging in an inter-disciplinary and data-driven approach to understanding lone actor terrorists, and solo mass murderer attackers. Instead of using the ‘terrorist’ or ‘offender’ as the dependent variable under investigation, it may be more instructive to disaggregate and compare socio-demographic, psychological and behavioral features across and between these offender types.
Contenu
1. Introduction. -- Data. -- 2. Comparing Lone Actor Terrorists and Solo Mass Murderers. -- Introduction. -- Method. -- Bivariate Analyses. -- The Offenders. -- Age. -- Gender . -- Education, Employment & Relationship Status. -- Previous Criminal History. -- Other Distal Factors. -- Proximal Factors. -- Attack Signaling. -- Regression Analysis. -- Clustering Behaviors. -- Conclusion. -- 3. Rethinking Our Conceptualizations. -- 4. ‘Risk Factors’ and Lone Actor Violent Events: The Problems of Low Base Rates & Long Observational Periods. -- Do ‘Risk Factors’ Change Over Time? Learning from High-Likelihood, Low-Impact Crimes. -- Method. -- Results. -- Conclusion. -- 5. Routine Activity Case Studies. -- Lone actor Terrorists. -- Mohammed Reza Taheri-Azar. -- Timothy McVeigh. -- Floyd Lee Corkins. -- Abdulhakim Mujahid Muhammad. -- Eric Rudolph. -- Scripting Lone actor Terrorist Events. -- Solo Terrorists. -- Faisal Shahzad. -- Umar Farouk Abdulmutallab. -- Scripting Solo Terrorist Events. -- Mass Murderers. -- Kyle Huff. -- Michael McDermott. -- Jeffrey Weise. -- Robert Hawkins. -- Gang Lu. -- Scripting Mass Murder Events. -- 6. Conclusion.