| ID | 172817 |
| Title Proper | Radicalization Trajectories |
| Other Title Information | an Evidence-Based Computational Approach to Dynamic Risk Assessment of “Homegrown” Jihadists |
| Language | ENG |
| Author | Klausen, Jytte |
| Summary / Abstract (Note) | 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. |
| `In' analytical Note | Studies in Conflict and Terrorism Vol. 43, No.7-9; Jul-Sep 2020: p.588-615 |
| Journal Source | Studies in Conflict and Terrorism Vol: 43 No 7-9 |
| Key Words | Radicalization Trajectories ; Dynamic Risk Assessment ; Homegrown Jihadists |