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Dr Gabriela Pohl

Dr Gabriela Pohl
Name Gabriela Pohl
Position Lecturer (Social Sciences)
Section School of Humanities and Communication
Location Toowoomba Campus
Phone +61 7 4631 1074
Extension 1074
Email
Qualifications BBus USQ , GDipEd USQ , MEd USQ , PhD USQ
Languages German (accredited translator)
Homepage https://www.researchgate.net/profile/Gabriela_Pohl
The views expressed on staff homepages may not reflect the views of the University.

  • Applied Economics ( 140200 )
  • Defence Studies ( 160604 )
  • Language, Communication and Culture ( 200000 )
  • Decision Making ( 170202 )
  • Decision Making ( 520402 )
  • Defence Studies ( 440804 )
  • Behavioural Economics ( 380102 )
  • Political Science ( 440800 )
  • Cognitive And Computational Psychology ( 520400 )
  • Applied Economics ( 380100 )

Our research is placed at the intersection of economics, criminology and terrorism studies. We use both behavioral and orthodox economics to analyse terrorist choice, especially the choice of attack method. Our applications of prospect theory, for example, allow us to provide explanations for aspects of terrorist decision-making, including rivalries with other groups, the basis for copycat behavior and changes in risk preferences over time. I have applied these frameworks also to study terrorist choice where media attention is the desired (but uncertain) payoff to terrorist action. In particular, my work is focused on the terrorism context of West Germany in the 1970s where groups such as the Red Army Faction and 2nd of June Movement were prominent and vying for attention.


Accredited Paraprofessional Interpreter in the English and German languages, National Accreditation Authority for Translators and Interpreters (NAATI).


  • Defence Studies ( 160604 )
  • Language, Communication and Culture ( 200000 )
  • Decision Making ( 170202 )
  • Decision Making ( 520402 )
  • Defence Studies ( 440804 )
  • Behavioural Economics ( 380102 )
  • Political Science ( 440800 )
  • Cognitive And Computational Psychology ( 520400 )
  • Applied Economics ( 380100 )