IN005
AI for Model and Data Integration in the Geosciences

Session ID#: 82892

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 session will address specific topics and key questions:

  • What are the major challenges in integrating models and data in geosciences?
  • What emerging AI approaches are promising for integrating geosciences models and data?
  • How have recent AI advances contributed to geoscience model integration?
  • What are examples of successful AI research in model and data integration in geosciences?
  • Where are the greatest opportunities and needs for AI in model integration?
  • How can we prepare the next generation of students to work at the intersection of these fields?
Co-Organized:
  • A - Atmospheric Sciences
  • ED - Education
  • H - Hydrology
  • NH - Natural Hazards
Co-Sponsor(s):
  • AMS: American Meteorological Society -
  • EGU: European Geosciences Union -
Index Terms:

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

Primary Convener:  Daniel R Fuka, Virginia Tech, Blacksburg, VA, United States and IS-GEO RCN Team
Conveners:  Yolanda Gil1, Daniel Garijo1, Deana D Pennington2 and IS-GEO RCN Team, (1)University of Southern California, Information Sciences Institute, Los Angeles, CA, United States(2)University of Texas at El Paso, El Paso, TX, United States
Primary Liaison:  Daniel R Fuka, Virginia Tech, Blacksburg, VA, United States and IS-GEO RCN Team
 
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Keiichiro Fukazawa, Kyoto University, Kyoto, Japan, Tomoki Kimura, Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan, Terumasa Tokunaga, 6., Department of Systems Design and Informatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Kawasaki-City, Kanag, Japan and Shinya Nakano, The Inst of Statistical Math, Tachikawa, Japan
 
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See more of: Earth and Space Science Informatics
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