Past Webinars
Past TIES Annual Meetings
TIES 2022 Annual Meeting (November 17-18, 2022)
TIES 2023 Regional Conference , Trent University, Canada (July 24-29, 2022) (Click here for playlist)
Machine Learning in Climate Action
The use of emulators for uncertainty characterization and integrated modeling
From Theory to Practice in Anthropogenic Climate Change: More than a Century of Monitoring and Prediction
11:00 AM (CT)
U.S.
Director and Senior Scientist,
Center for International Earth Science Information Network (CIESIN)
Columbia Climate School, Columbia University
Machine learning for spatial-temporal environmental data: Successes and pitfalls
Assessing Urban Form & Climate Justice with Self Supervised Deep Learning
1:00 PM (CT)
U.S.
What is the 100 Year Flood, and Will It Be the Same in the Future
Data Science and the assessment of climate risk
Machine Learning for Climate Change and Environmental Sustainability
9:00 am (CT)
U.S.A.
INRIA Paris
Choose France Chair in AI & Research
University of Colorado Boulder
Associate Professor
Combined land use of solar energy and agriculture (Agrivoltaics) for socioeconomic and environmental co-benefits
11:00 am (CT)
U.S.A.
Combining network theory and tree functional traits to improve forest resilience to global change
11:00 am (CT)
U.S.A.
University Professor
Department of Ecology and Evolutionary Biology, University of Toronto
Machine-Learning Applications in Process-understanding and Prediction of Wildfire
Resilience Technology: Value-Added Analytics for the Wicked Wildfire Problem
11:00 am (CT)
U.S.A.
Analytics Hub Director
Earth Lab, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder
Leveraging global streamflow prediction systems for imputation of missing in-situ observations in West Africa
11:00 am (CT)
U.S.A.
Bayesian Inference In High-dimensional Spatial Statistics: Conquering New Challenges
Slides Available at https://cloudfil.es/jwoHd0wUgcQ
Bayesian Inference on Carbon Dioxide Surface Fluxes using Satellite Data
6:00 pm (CST)
U.S.
9:00 am (AEST)
Australia
Beyond Roughness: Efficient Parameter Estimation of Sampled Random Fields in Geology and Geophysics
Application of topological data analysis to multi-resolution matching and anomaly detection
