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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, thus forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of this year’s meeting is "Data for All People: From Generation to Use and Understanding."

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Wednesday, January 19 • 11:00am - 12:30pm
Improving "FAIRness" and "Fairness" of AI/ML in Geoscience

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Many scientists are actively experimenting AI/ML methods to either replace the conventional methods or improving the existing data products to higher accuracy and resolution. However, most people complains that the experiments reported in research literature are very difficult to neither reproduce nor reuse. The source code and notebooks and associated data, models, and results are hard to find, access, interoperate, and reuse. Meanwhile, the trained models are often biased towards the majority and common patterns due to sampling strategy or natural distribution. These issues are significantly harming the usability and trustworthy of AI/ML in geoscientific application. This session aims to solicit community experiences, opinion, and vision to enhance the FAIRness and fairness of AI/ML.

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avatar for Annie Burgess

Annie Burgess

Lab Director, ESIP
avatar for Cindy Lin

Cindy Lin

Cindy Lin is a Postdoctoral Fellow at the Atkinson Center for Sustainability, affiliated with the Department of Information Science. In Fall 2022, she will be an assistant professor at Pennsylvania State University’s College of Information Sciences and Technology.Her current research... Read More →
avatar for Mike Mahoney

Mike Mahoney

Research Assistant, SUNY College of Environmental Science and Forestry
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Ziheng Sun

Ziheng Sun

Research Assistant Professor, George Mason University
My research interests are mainly on geospatial cyberinfrastructure and machine learning in atmospheric and agricultural sciences.

avatar for Daniel Katz

Daniel Katz

N/A, University of Illinois
Dan is Chief Scientist at the National Center for Supercomputing Applications (NCSA) and Research Associate Professor in Computer Science, Electrical and Computer Engineering, and the School of Information Sciences (iSchool), at the University of Illinois Urbana-Champaign. In past... Read More →
avatar for Jianwu Wang

Jianwu Wang

Associate Professor, University of Maryland, Baltimore County
Dr. Jianwu Wang is an Associate Professor at the Department of Information Systems, University of Maryland, Baltimore County (UMBC). He is also an affiliated faculty at the Joint Center for Earth Systems Technology (JCET), UMBC. He received his Ph.D. degree in Computer Science from Institute of Computing Technology, Chinese Academy of Sciences in 2007. His research interests include Big Data Analytics, Scientific Workflow, Distributed Computing, Service Oriented Computing. He has published 110+ papers with... Read More →
avatar for Fotis Psomopoulos

Fotis Psomopoulos

Researcher, Institute of Applied Biosciences, Centre for Research and Technology Hellas

Wednesday January 19, 2022 11:00am - 12:30pm EST
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