SOURCE-LINKED INTELLIGENCE

Terrorist Group Adaptation & Lessons for Counterterrorism

CORDIS · observation · Publication date unknown

s survive, and sometimes thrive, despite efforts to combat them. This is accomplished by integrating political psychology, social movement, and terrorism research, and applying big data analytics and machine learning common in brain sciences, natural sciences, and bioinformatics to identify adaptation patterns in terrorist attack target selection and brutality. First, this project frames terrorism as a recruitment tool for manipulating potential supporters’ psychological needs, like vengeance. Repressive government actions lead to desires for vengeance and thus create opportunities for acts of terrorism specifically attacking the repressive actor to signal a terrorist group’s capability for fulfilling this psychological need. As such, we should observe strategic short-term changes in terrorism following government repression in the data. This is tested using Event Coincidence Analysis, a method for identifying synchronization patterns and trigger rates from one event to another. Second, because terrorist groups can also adapt to changes in counterterrorism, this project proposes tw

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recordType

award

status

SIGNED

region

EU

value

1500000

unit

EUR