Cat modelling with python
summary
A concrete account of what changed: legacy supercomputers (256MB, 3GB disk) get replaced by cheap Intel boxes and Raspberry Pi, compute cost plummets; engineering work includes a matplotlib patch for stacked bars that lands in the gallery, a Compass → GPS rewrite that actually succeeds, a toy town model in the Oasis open loss model framework, and a proposed Karma Pie distributed weather data network. Surprises: four Florida hurricanes in 2004, three Christchurch quakes, and Zurich’s $445B cyber cost estimate.
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chapters (14)
- 0:00Catastrophe modelling intro
- 2:12History of cat modelling
- 5:44Computing power evolution
- 9:23TCL to Python transition
- 12:56Event-driven reinsurance models
- 15:44Commercial cat software challenges
- 18:36Oasis open loss model framework
- 21:01Earthquake model limitations
- 24:16Climate change weather insights
- 26:02Cyber risk reinsurance impact
- 27:25Open-source cat modelling tools
- 29:10Open-source pioneers
- 30:34Explore data and tools
- 32:00Q&A
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