Using R and Shiny to Calculate Economic Costs of Weather and Climate Extremes

6:30 Doors open - socializing & individual questions

7:00 Announcements & Introduction

7:10 Speaker(s)

8:30 Wrap up & socializing

9:00 Out the door!

Using R/Shiny to Calculate Economic and Insured Costs of Weather and Climate Extremes

We will present our global catastrophe model framework (written in R, using libraries such as Shiny, leaflet, data.table, doMC and others)) for weather and climate extremes. Probabilistic catastrophe models are tools that insurance companies use to underwrite business and balance portfolios. I will walk through some of the R/Shiny code (previous version is still online at http://www.katrisk.com/analytics ) that allows every homeowner (and small portfolios up to 1000 locations) in the US and large parts of Asia to gauge the financial impact of tropical cyclones and flood under current climate conditions.

Speaker: Dag Lohmann, CEO, Co-founder Katrisk LLC (http://www.katrisk.com/)

Before co-founding the risk modeling company KatRisk LLC (Berkeley, CA), Dag was a Vice President of Model Development at Risk Management Solutions leading a team of modelers and software engineers building and implementing catastrophe models. He worked for 7.5 years on the development of continental scale flood risk models in RMS and RMS' Next Generation risk modeling methodology. From 1999 to 2004 he was with the National Weather Service, NOAA/NCEP/EMC in Camp Springs, MD, where his main interest was data assimilation with real-time data, forecasting and hydrological modeling. He received a Physics Diploma (Masters) from the Georg-August University in Goettingen (Germany) and a Ph.D. from Hamburg University (Germany) before working for 2 years as a postdoc at Princeton University. He received the 1999 Tison Award of the IAHS and has published numerous papers on risk modeling, hydrological modeling, model uncertainty, forecasting, data assimilation, and climate change.