IN13A:
Intelligent Systems for Geosciences: Accelerating Discovery and Building Community I Posters

Submit an Abstract to this Session



Session ID#: 24753

Session Description:
Intelligent Systems for Geosciences (IS-GEO) encompasses an emerging community of interdisciplinary researchers producing fundamental new capabilities for overcoming common challenges, while redefining the frontiers of discovery across fields and disciplines. Developments in machine learning, information integration, robotics, adaptive sensors, intelligent interfaces, and artificial intelligence, including knowledge extraction and representation, are thus advancing and transforming geoscience research. This session seeks approaches for collecting, integrating and visualizing heterogeneous data, in addition to ontological reasoning with scientific metadata, mathematical modeling, and knowledge discovery using machine learning and data mining methods. Participants should also consider potential uses for cyberinfrastructures and intelligent assistants that make scientists more efficient and facilitate information sharing, collaborative workflow design and management to support data analytics. We also welcome submissions describing successes, challenges, and lessons learned from the ongoing exchange of knowledge and collaborations across these disciplines.
Primary Convener:  Mariana Güereque, University of Texas at El Paso, El Paso, TX, United States
Conveners:  Sai Ravela, Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences (EAPS), Cambridge, United States, Anuj Karpatne, University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, United States and Michael J Friedel, GNS Science, Lower Hutt, New Zealand
Chairs:  Mariana Güereque, University of Texas at El Paso, El Paso, TX, United States and Anuj Karpatne, University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, United States
OSPA Liaison:  Anuj Karpatne, University of Minnesota Twin Cities, Department of Computer Science and Engineering, Minneapolis, MN, United States
Co-Organized with:
Earth and Space Science Informatics, and Atmospheric Sciences

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • PA - Public Affairs
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1920 Emerging informatics technologies [INFORMATICS]
1968 Scientific reasoning/inference [INFORMATICS]
1976 Software tools and services [INFORMATICS]
1999 General or miscellaneous [INFORMATICS]

Abstracts Submitted to this Session:

Fʀᴏᴍ MODFLOW-96 ᴛᴏ MODFLOW-2005, PᴀʀFʟᴏᴡ, ᴀɴᴅ Oᴛʜᴇʀs: Uᴘᴅᴀᴛᴇs ᴀɴᴅ ᴀ Wᴏʀᴋғʟᴏᴡ ғᴏʀ Uᴘ- ᴀɴᴅ Oᴜᴛ-Cᴏɴᴠᴇʀsɪᴏɴ (290698)
Daniel Hardesty Lewis, University of Texas at Austin, Department of Mathematics, Austin, TX, United States and Suzanne A Pierce, University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, United States
Integrating Intelligent Systems Domain Knowledge Into the Earth Science Curricula (300327)
Mariana Güereque1, Deana D Pennington1 and Suzanne A Pierce2, (1)University of Texas at El Paso, El Paso, TX, United States, (2)Texas Advanced Computing Center, Austin, TX, United States
The Volcanism Ontology (VO): a model of the volcanic system (235240)
John Myer, Georgia State University, Department of Geosciences, Atlanta, GA, United States and Hassan A Babaie, Georgia State University, Atlanta, GA, United States
An Expert System toward Buiding An Earth Science Knowledge Graph (237705)
Xiaoyi Duan1, Jia Zhang2, Rahul Ramachandran3, Tsengdar J Lee4, Qihao Bao1, Patrick N Gatlin5 and Manil Maskey3, (1)Carnegie Mellon University, Pittsburgh, PA, United States, (2)Carnegie Mellon University Silicon Valley, Moffett Field, CA, United States, (3)NASA Marshall Space Flight Center, Huntsville, United States, (4)NASA, Washington, United States, (5)NASA Marshall Space Flight Center, Huntsville, AL, United States
Visualizing TZVOLCANO GNSS Data with Grafana via the EarthCube Cyberinfrastructure CHORDS: an Example of Dashboard Creation for the Geosciences (276789)
ThaoVy Tuong Nguyen, Virginia Polytechnic Institute and State University, Geosciences, Blacksburg, VA, United States and Dr. D. Sarah Stamps, PhD
Formulating qualitative features using interactive visualization for analysis of multivariate spatiotemporal data (287833)
Misty Porter, University of Kansas, Department of Geology, Lawrence, KS, United States, Mary C Hill, Suzanne A Pierce, University of Texas at Austin, Environmental Sciences Institute, Jackson School of Geosciences, Austin, TX, United States; Texas Advanced Computing Center, Austin, TX, United States, Yolanda Gil, University of Southern California, Information Sciences Institute, Los Angeles, CA, United States and Deana D Pennington, University of Texas at El Paso, El Paso, TX, United States
Improving land surface parameter retrieval by integrating plant traits priors in the MULTIPLY data assimilation platform (257249)
Amie Elizabeth Corbin1, Joris Timmermans1,2, Leon Hauser1, Peter van Bodegom1 and Nadejda Soudzilovskaia1, (1)Leiden University, Institute of Environmental Sciences (CML), Leiden, Netherlands, (2)University College London, London, United Kingdom

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