ASA Risk Analysis Section Webinar:
Climate Change, Extreme, and Risks Time: Wednesday, September 29, 2:00-4:00 pm ET
Speaker: Richard L. Smith, Department of Statistical and Operations Research, University of North Carolina at Chapel Hill. He is an expert on extreme value theory, climatological statistics and has extensively collaborated with research groups including the Statistical and Applied Mathematical Sciences Institute (SAMSI) and the National Center for Atmospheric Research (NCAR), and has interacted with numerous climate scientists in North America and worldwide. He has just been reappointed to the EPA's Science Advisory Board.
Learn more about the speaker at http://rls.sites.oasis.unc.edu
Abstract: 2021 has been the year that climate change finally became a subject everyone was talking about. A series of extreme climate events have covered the US and Canada, many parts of Europe, and other parts of the world. The Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) delivers dire warnings about what will happen if we fail to curb greenhouse gas emissions quickly. An international conference will take place in Britain in November where world leaders including President Biden will be expected to reveal their plans for action. So, where do statistics and data science fit into this picture? Come and learn from the expert!
This talk will introduce these concepts to statisticians and data scientists not previously familiar with this field. No prior knowledge of climate science will be assumed, and only a basic graduate-level knowledge of statistics. The talk will introduce extreme value theory, show how these methods are applied in the climate context, discuss some of the pitfalls, and suggest directions for future research.
More details available at Section Website:
https://community.amstat.org/riskanalysissection/home
Register: https://www.amstat.org/ASA/Education/Web-Based-Lectures.aspx#CCER
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Rajeshwari Sundaram
Senior Investigator
National Institute of Child Health and Human Development
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