Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes (22w5079)

Organizers

(McGill University)

Marloes Maathuis (Eidgenössische Technische Hochschule Zürich)

Linda Mhalla (University of Lausanne, Faculty of Business and Economics)

Phillippe Naveau (Climate Science and Environment Laboratory-France)

Description

The Banff International Research Station will host the "Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes" workshop at the UBC Okanagan campus in Kelowna, B.C., from June 26 to July 1, 2022.


In a changing climate, the frequency and severity of climate extremes is of prime importance for human society. It is essential to understand and quantify how the behavior of extremes will differ from the past and how it might evolve in the future. Scientific answers to these questions require a novel and rigorous mathematical and statistical framework to assess and quantify causal effects on and of extremes. Achieving this goal calls for a combined research effort from three scientific fields: causal inference, extreme-value theory, and climatology. This workshop brings together leading experts from these three fields, in order to develop new collaborations, identify new problems, and advance the state of the art of the budding area of causal inference for extremes.


The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. BIRS is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).