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                            Library & Multimedia
 Radicalization Trajectories: An Evidence-Based Computational Approach to Dynamic Risk Assessment of “Homegrown” Jihadists
NCJ Number
              304906
Journal

*Studies in Conflict & Terrorism* Volume: 43 Issue: 7 Dated: 2020
Author(s)
          Jytte Klausen;
                        Rosanne Libretti;
                        Benjamin W. K. Hung;
                        Anura P. Jayasumana
Date Published

2020
Annotation
              This research aimed to develop and test a new dynamic approach to preventive risk assessment of violent extremists.
Abstract
              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. (Publisher Abstract Provided)
      
  
          Additional Details
Grant Number(s)
        2013-ZA-BX-0005


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Prisoner Recollections: The Role of Internet Use and Real-Life Networks in the Early Radicalization of Islamist Terrorist Offenders
    
  
  
Date Published: January 1, 2020
    
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        Terrorist profiles
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