We are using a complex systems approach in a pilot project to create a data-driven real-time empirical analysis of the self-radicalisation phenomenon. The project, if successful, will generate actionable predictions about the likelihood that particular individuals of interest will become self-radicalised. In the pilot project, we use validated open source data to empirically test three hypotheses: individuals reveal their â€˜identityâ€™ â€“ a personal signature â€“ through their texts; there exist tipping-point phenomena where â€˜identityâ€™ may shift rapidly from one metastable state to another; and an individualâ€™s â€˜identityâ€™ will show critical slowing down â€“ the characteristic dynamics that predict the approach of a tipping point.
|Title of host publication||Terrorists' use of the internet: Assessment and Response|
|Editors||Conway, M., Jarvis, L., Lehane, O., Macdonald, S., Nouri, L.|
|Place of Publication||Australia|
|Publication status||Published - 2018|