Debunking Seven Terrorism Myths Using Statistics

List of contents

1. The Role of Statistics in Debunking Terrorism Myths. 2. Myth.1: We Know Terrorism When We See It. 3. Myth.2: Terrorism only aims at killing civilians. 4. Myth.3: The vulnerability of the West to terrorism. 5. Myth.4: A homogeneous increase of terrorism over time. 6. Myth.5: Terrorism Occurs Randomly. 7. Myth.6: Hotspots of Terrorism are Static. 8. Myth.7: Terrorism cannot be predicted. 9. Terrorism: Knowns, Unknowns, and Uncertainty.

About the author

Andre Python is ZJU100 young professor of Statistics at Zhejiang University. His current research interests are in extending statistical models to address policy-relevant issues raised by the spread of phenomena threatening global security and health. In 2017, Andre completed a PhD in Statistics at the University of St Andrews, applying a Bayesian spatiotemporal model to capture fine-scale patterns of non-state terrorism across the world. As postdoctoral researcher at the University of Oxford, he has developed geostatistical models and actively contributed to the design and teaching of Bayesian statistics and R software courses for PhD students and University staff.

Summary

The book provides a brief introduction to seven aspects of terrorism. It starts with acknowledging the ambiguity of the concept of terrorism.

Product details

• Authors: Andre Python
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 10.07.2020
• EAN: 9780367472283
• ISBN: 978-0-367-47228-3
• No. of pages: 150
• Series: ASA-CRC Series on Statistical Reasoning in Science and Society
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; POLITICAL SCIENCE / Terrorism, MATHEMATICS / Probability & Statistics / General, SOCIAL SCIENCE / Statistics, Mathematics, Probability and statistics