Leveraging Big Data to Manage Extreme Weather Risks?


Past Event

Leveraging Big Data to Manage Extreme Weather Risks?

November 12, 2019
5:00 PM - 7:00 PM
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Maison Française, Columbia University

Extreme weather episodes such as Hurricane Sandy of 2012 and California Wildfires of 2018 led to significant human displacement and billions of dollars of economic damage spread across utility, real estate and other commercial sectors. Scientists predict that climate change will lead to more frequent and extreme weather risks.  This evening panel is the first in a series of events on the economic and financial applications of alternative data sponsored by Capital Fund Management (CFM) and Columbia University’s Program for Economic Research (PER).  A number of distinguished speakers and panelists will explore whether we can leverage big data from satellite images and machine learning algorithms to manage these risks in real time?  The evening will consist of talks on recent improvements in remote sensing, the use of machine learning algorithms and applications for insurance and asset management.

Registration is required for this event. Please direct questions to [email protected].

Christopher Small, Lamont Research Professor, Columbia University
Francesc Ortega, Dina Axelrad Perry Professor in Economics, Queens College CUNY
Joséphine Gantois, Sustainability Development Graduate Student, Columbia University
Kevin Sin Ronia, Vice President Research Directional Alpha, Capital Fund Management
José Scheinkman, Charles and Lynn Zhang Professor of Economics, Columbia University
Harrison Hong, John R. Eckel Jr. Professor of Financial Economics, Columbia University
Charles-Albert Lehalle, Head of Data Analytics, Capital Fund Management
Bobby Shackelton, Head of Geospatial, Bloomberg LP