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.
Inhaltsangabe
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.
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.
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