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Session Proposal: Machine learning and the art of data discovery (AGU25)

IN032
Machine learning and the art of data discovery

Session ID#: 248283

Session Description:
With the advent and popularity of ChatGPT and other chatbot technologies, we see an opportunity to improve the quality of search and discovery within earth science data archives. Multiple machine learning technologies could be brought to bear on the problem of producing high quality results from earth science queries. Those technologies include, but are not limited to,ChatbotsKnowledge GraphsLarge language modelsVector embeddingsThese technologies could be applied to both the search of earth science archives, where the user has an idea of what they are searching for, and the discovery of data, where the user may discover new knowledge from existing data.We invite agencies, organizations and individuals to present their experiences with the above technologies applied to earth science search and discovery and what they plan to do in the future so that we can learn and provide better solutions to our community.
Index Terms:

1916 Data and information discovery [INFORMATICS]
1938 Knowledge representation and knowledge bases [INFORMATICS]
1942 Machine learning [INFORMATICS]
1954 Natural language processing [INFORMATICS]
Primary Convener:  Douglas J Newman, NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States
Conveners:  Brian Freitag, University of Alabama in Huntsville, Huntsville, United States and Muthukumaran Ramasubramanian, University of Alabama in Huntsville, Huntsville, AL, United States
 
Using Generative AI to Support Discovery in Geoscience Education Resource Collections (1867725)
Sean Fox, Carleton College, Northfield, MN, United States, John Robert McDaris, Science Education Resource Center at Carleton College, Northfield, United States and Mahdi Mohamed, Carleton College, SERC, Northfield, United States
 
Machine Learning for Planetary Data Discovery: Lava Flow Classification in Daedalia Planum, Mars (1928408)
Norbert Nieścior, University of Warsaw, Warsaw, Poland
 
PANGAEA-GPT: A Hierarchical Multi-Agent System for Autonomous Discovery in Geoscientific Data Archives (1944819)
Dmitrii Pantiukhin1, Boris Shapkin1, Ivan Kuznetsov1, Antonia Anna Jost1, Thomas Jung2 and Nikolay Koldunov1, (1)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Climate Dynamics, Bremerhaven, Germany, (2)Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
 
Progress Report on AI-Astrobiology Initiative from NASA Ames Research Center (1974924)
Ryan Felton, NASA Ames Research Center, Exobiology Branch, Moffett Field, United States and Caleb Scharf, NASA Ames Research Center, Moffett Field, United States
 
Enhancing Earth Mission Control With Agentic Data Retrieval for Contextual Decision Support (1980928)
Lucas De Bonet1, Dr. Rachel Connolly, PhD1, Minoo Rathnasabapathy2, Leonie Bensch3, Leonard Jones4 and Dava Newman2, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)Massachusetts Institute of Technology, Cambridge, United States, (3)RWTH Aachen University, Aachen, Germany, (4)Hampton University, Hampton, United States
 
Automated Systematic Literature Reviews using Large Language Models (1987785)
James Rising, University of Delaware, School of Marine Science and Policy, Newark, DE, United States
 
INDUS-SDE: A Language Model for Scientific Content Curation and Discovery (1988142)
Nishan Pantha1, Sajil Awale1, Vishnudev Kuruvanthodi2, Muthukumaran Ramasubramanian3, Carson Davis3, Bishwas Praveen1, Simran KC4, Bishwaranjan Bhattacharjee5 and Rahul Ramachandran6, (1)University of Alabama in Huntsville, Huntsville, United States, (2)IBM Research Europe, Hursley, United Kingdom, (3)University of Alabama in Huntsville, Huntsville, AL, United States, (4)University of Alabama in Huntsville, Computer Science, Huntsville, United States, (5)IBM Research USA, Yorktown Heights, United States, (6)NASA Marshall Space Flight Center, Huntsville, AL, United States
 
Past, Present, and Future Use of Natural Language Processing (1998969)
Ryan Abbott, Element 84, Inc., Alexandria, VA, United States
 
The Signal Through the Noise: Turning Raw Metrics into Stories (2000243)
Jonathan Blake, Element 84, Inc., Alexandria, VA, United States
 
Reducing Human-in-the-Loop Burden: Strategic AI Implementation for Scientific Data Curation at Scale in NASA's SDE (2000736)
Bishwas Praveen1, Nishan Pantha1, Carson Davis2, Simran KC3, Sajil Awale1, Emily Foshee2, Adam Goldstein4, Corinne Fletcher4, Kaylin Bugbee5, Bernard Benson1, Muthukumaran Ramasubramanian2, Rahul Ramachandran6, Pushwitha Krishnappa3 and Oliver Roberts7, (1)University of Alabama in Huntsville, Huntsville, United States, (2)University of Alabama in Huntsville, Huntsville, AL, United States, (3)University of Alabama in Huntsville, Computer Science, Huntsville, United States, (4)Universities Space Research Association Huntsville, Huntsville, United States, (5)NASA Marshall Space Flight Center, Huntsville, AL, United States, (6)NASA Marshall Space Flight Center, Huntsville, United States, (7)Universities Space Research Association, Huntsville, AL, United States
 
LLMs, Encoders, and Agentic Workflows for Curation and Discovery in NASA’s Science Discovery Engine (2001335)
Carson Davis1, Bishwas Praveen2, Emily Foshee1, Kaylin Bugbee3, Nishan Pantha2, Dhanur Sharma4, Sajil Awale2, Simran KC5, Kiran Dawadi2, Saif Khan2, Bernard Benson2, Muthukumaran Ramasubramanian1, Pushwitha Krishnappa5, Pranath Reddy Kumbam6, Adam Goldstein7, Corinne Fletcher7 and Oliver Roberts8, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)University of Alabama in Huntsville, Huntsville, United States, (3)NASA Marshall Space Flight Center, Huntsville, AL, United States, (4)Left Right Mind, Huntsville, United States, (5)University of Alabama in Huntsville, Computer Science, Huntsville, United States, (6)University of Alabama in Huntsville, Earth System Science Center, Huntsville, United States, (7)Universities Space Research Association Huntsville, Huntsville, United States, (8)Universities Space Research Association, Huntsville, United States
 
Enabling Semantic Search for the NASA Planetary Data System (2003679)
Tyler Yu, NASA Jet Propulsion Laboratory, California Institute of Technology, Mission Viejo, CA, UNITED STATES, Thomas Loubrieu, NASA Jet Propulsion Laboratory, Pasadena, United States and Jordan Padams, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
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