@article{ref1,
title="Radicalization trajectories: an evidence-based computational approach to dynamic risk assessment of "homegrown" jihadists",
journal="Studies in conflict and terrorism",
year="2020",
author="Klausen, Jytte and Libretti, Rosanne and Hung, Benjamin W. K. and Jayasumana, Anura P.",
volume="43",
number="7",
pages="588-615",
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. Behavioral 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' pathways to terrorist criminality.<p /> <p>Language: en</p>",
language="en",
issn="1057-610X",
doi="10.1080/1057610X.2018.1492819",
url="http://dx.doi.org/10.1080/1057610X.2018.1492819"
}