Radicalization Trajectories: An Evidence-Based Computational Approach to Dynamic Risk Assessment of “Homegrown” Jihadists
Journal Abstract
The research aimed to develop and test a new dynamic approach to preventive risk assessment of violent extremists. The well-known New York Police Department four-phase model was used as a starting point for the conceptualization of the radicalization process, and time-stamped biographical data collected from court documents and other public sources on American homegrown Salafi-jihadist terrorism offenders were used to test the model. Behavioural sequence patterns that reliably anticipate terrorist-related criminality were identified and the typical timelines for the pathways to criminal actions estimated for different demographic subgroups in the study sample. Finally, a probabilistic simulation model was used to assess the feasibility of the model to identify common high-frequency and high-risk sequential behavioral segment pairs in the offenders’ path- ways to terrorist criminality.
- Journal : Studies in Conflict & Terrorism
- Author : Jytte Klausen, Rosanne Libretti, Benjamin W. K. Hung & Anura P. Jayasumana
- Date : 2020
- Link : https://www.tandfonline.com/doi/full/10.1080/1057610X.2018.1492819