Elizabeth Barnes(She/Her)Colorado State University
Dr. Barnes’ current research topics of interest include earth system predictability, subseasonal-to-decadal (S2D) prediction, climate intervention research, and data science methods for earth system research (e.g. machine learning, causal discovery). She teaches graduate courses on fundamental atmospheric dynamics and data science and statistical analysis methods. Professor Barnes is involved in a number of research community activities. In addition to being a member of the National Academies’s Committee on Earth Science and Applications from Space, on the National Academies’ Board on Atmospheric Science and Climate, a funded member of the NSF AI Institute for Research on Trustworthy AI in Weather, Climate and Coastal Oceanography (AI2ES), and on the Steering Committee of the CSU Data Science Research Institute, she recently finished being the lead of the NOAA MAPP S2S Prediction Task Force (2016-2020). |
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TalksPanel: Ethics and Explainability in Climate AI: From Theory to Practice24-Apr-24Scientific inquiry and artificial intelligence algorithms are increasingly intertwined. This makes it essential to collectively develop guidelines for responsible and ethical behavior for training, deploying, and using AI-based models in scientific investigation, more crucially so for a field with such high societal impact as climate science. In this panel, we aim to explore this relatively uncharted territory, with the goal of creating a pipeline for a mindful climate science practice and identify standards for disseminating results. |