Statistical models and simulation methods have been providing solutions to various important scientific problems in climate and environmental science. This ISI Invited Session will showcase research projects involving innovative interactions between methodological development and scientific applications. This session brings together leading experts from three different sections of the research community: academics, industry and national laboratories. The speakers will present novel statistical methods motivated by significant scientific challenges to study climate change, impact to public health, environment studies and uncertainty quantification. Their presentations will feature various data settings arising from different application contexts in remote sensing, agriculture, public health and climate modeling. This will ensure that the main ideas in their talks will be of interest to statisticians and data scientists working in not methodological but also in applied and interdisciplinary fields. 

Session Makeup: 3 speakers (listed alphabetically) 

Professor Meredith Franklin , University of Toronto 

Charmaine Dean, Vice-President, Research and Professor, Department of Statistics and Actuarial Science, University of Waterloo, vpri@uwaterloo.ca 

Bo Li, Department Chair & Professor, Department of Statistics, University of Illinois, Urbana Champaign, libo@illinois.edu 

Steve Sain, Senior Director, Geospatial and Data Sciences, Jupiter Intelligence, sainsr2@gmail.com

Statistical models and simulation methods have been providing solutions to various important scientific problems in climate and environmental science. This ISI Invited Session will showcase research projects involving innovative interactions between methodological development and scientific applications. This session brings together leading experts from three different sections of the research community: academics, industry and national laboratories. The speakers will present novel statistical methods motivated by significant scientific challenges to study climate change, impact to public health, environment studies and uncertainty quantification. Their presentations will feature various data settings arising from different application contexts in remote sensing, agriculture, public health and climate modeling. This will ensure that the main ideas in their talks will be of interest to statisticians and data scientists working in not methodological but also in applied and interdisciplinary fields.

Organiser: Dr Emily Lei Kang 

Chair: Dr Emily Lei Kang 

Speaker: Amy Braverman 

Speaker: Bo Li 

Speaker: Steve Sain