Leveraging Big Data to Manage Extreme Weather Risks?

Leveraging Big Data to Manage Extreme Weather Risks? is part of the ongoing CFM-PER Data Initiative. Find more information about the CFM-PER Columbia Data Initiative here.

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.