Aims:
  • This project extends a class of self-exciting models for analysing terrorism to identify responsibility for terrorist attacks and assess the effectiveness of counter-terrorism operations

Non-linear Dynamic Models

Non-linear dynamic models for attribution of Terrorist Attacks and Intervention Effectiveness. Attribution of terrorist attacks and understanding the effectiveness of targeted interventions is vital to assessing the effectiveness of counter-terrorism policy. Increased interest in evidence-based policy makes developing accurate models imperative.. Models results will be published in leading journals for both policy discussions and the field of statistics. Results will also be shared directly with industry partners in the US and Australian governments. This should encourage substantial further research funding from industry partners.

Project Value: 
$17 500.00
Funding: 
UQ Early Career Researcher
Date: 
2012
Time status: 
Current
Contact: 
Dr Gentry White (g.white@uq.edu.au)
Aims:
  • This project extends a class of self-exciting models for analysing terrorism to identify responsibility for terrorist attacks and assess the effectiveness of counter-terrorism operations
Program/Affiliation: 
Type: 
Quantitative
Keywords: 
Terrorism
Security
Crime control
Methodology
Number: 
ISSR030267