IN12A:
Augmenting Advances in the Next Century: Why AI and Knowledge-Centered Research in Geosciences Is Important Now and How It Will Change the Next Century I


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Session ID#: 60493

Session Description:
This panel session seeks to bridge the gap between Intelligent Systems and AI researchers and researchers from the geosciences, including Earth, atmospheric, ocean, and space sciences.  Sponsored by the EarthCube IS-GEO RCN, the panel will address specific topics and key questions: 

  1. What are AI and knowledge-centered approaches that are emerging and promising for geosciences
  2. How can the latest AI advancements contribute to Earth sciences?
  3. What is special about the Earth sciences that makes it challenging to apply standard AI algorithms?
  4. What are examples of successful AI research in the field of Earth sciences?
  5. Where are the greatest opportunities and needs for AI in Earth science?
  6. How can we prepare the next generation of students to work at the intersection of these fields?
Primary Convener:  Suzanne A Pierce, Texas Advanced Computing Center, Austin, TX, United States
Conveners:  Imme Ebert-Uphoff, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, Mary C Hill, University of Kansas, Geology, Lawrence, KS, United States and Daniel R Fuka, Virginia Tech, Department of Biological Systems Engineering, Blacksburg, United States
Primary Liaison:  Imme Ebert-Uphoff, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Chairs:  Mary C Hill, University of Kansas, Geology, Lawrence, KS, United States, Imme Ebert-Uphoff, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States and Daniel R Fuka, Virginia Tech, Department of Biological Systems Engineering, Blacksburg, United States
OSPA Liaison:  Imme Ebert-Uphoff, Colorado State University, Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States
Index Terms:

1912 Data management, preservation, rescue [INFORMATICS]
1916 Data and information discovery [INFORMATICS]
1920 Emerging informatics technologies [INFORMATICS]
1922 Forecasting [INFORMATICS]

Abstracts Submitted to this Session:

AI in geosciences: progress, challenges, and opportunities. (Invited) (394825)
Deborah Khider and Yolanda Gil, University of Southern California, Information Sciences Institute, Los Angeles, CA, United States
Machine Learning and the Geosciences (Invited) (380622)
Stephan R Sain, Jupiter Intelligence, Boulder, United States
Science Fiction Prototyping for interdisciplinary integration in AI and the geosciences (Invited) (364839)
Patrick Keys, Colorado State University, Atmospheric Science, Fort Collins, United States
How Can Advances in AI Help the Working Geoscientist? (Invited) (409733)
Scott Dale Peckham, University of Colorado Boulder, INSTAAR, Boulder, United States
StraboSpot System for Collecting and Sharing Field and Laboratory Data (Invited) (413383)
J. Douglas Walker, University of Kansas, Geology, Lawrence, KS, United States, Basil Tikoff, Univ Wisconsin, Madison, United States and Julie Newman, Texas A&M Univ, College Station, TX, United States
Lessons learnt from applying Deep Learning to Scientific problems at NERSC (Invited) (398402)
Mr Prabhat1, Karthik Kashinath2, Thorsten Kurth3, Mayur Mudigonda1, Michael F Wehner4 and William Drew Collins5, (1)University of California Berkeley, Berkeley, CA, United States, (2)NVIDIA Corporation, Santa Clara, CA, United States, (3)NVIDIA Corporation, Zurich, Switzerland, (4)Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, United States, (5)Berkeley Lab and UC Berkeley, Berkeley, United States
Use of Machine Learning in Integrated Teams to Address Complex Geologic Problems (Invited) (352734)
Dallas Dunlap, University of Texas at Austin, Bureau of Economic Geology, Austin, United States

See more of: Earth and Space Science Informatics