IN11F:
Intelligent Systems for Geosciences: Practices, Technologies, and Applications of Advanced Reasoning that Are Defining New Frontiers and Accelerating Scientific Discovery Posters (Lightning)
Submit an Abstract to this Session
Please know the abstract submission deadline has passed. There are no exceptions to this deadline and no new abstracts can be submitted.
You can still search the program to see your colleague�s abstract submissions as well as the sessions submitted for the 2016 Fall Meeting. The final program will be released in early October.
Please note: this session is being considered for an alternate session format. Please be aware that if your abstracted is accepted in this session, your abstract may be scheduled as a panel discussion or lightning poster presentation. For more information please visit the following link:
http://fallmeeting.agu.org/2016/alternate-session-formats/.
Session ID#: 18536
Session Description:
Intelligent Systems for Geosciences (IS-GEO) represent an emerging community of interdisciplinary researchers producing fundamental new capabilities for understanding Earth systems. Advances by artificial intelligence researchers, including knowledge representation, information integration, machine learning, robotics, adaptive sensors, and intelligent interfaces pose novel opportunities to accelerate advances and transform geoscience research.
This session invites researchers from geosciences and information systems to discuss how to tackle problems in heterogeneous data integration and visualization (e.g., hand-made sketches, aerial imagery, field-data repositories), ontological reasoning with scientific metadata and mathematical models (e.g., representing uncertainty, simulation predictions, evolving theories). And, asks participants to 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, and sophisticated machine learning techniques to analyze geosciences data. Innovative IS-GEO applications will help researchers overcome common challenges while will redefining the frontiers of discovery across fields and disciplines.
Primary Convener: Suzanne A Pierce, Texas Advanced Computing Center, Austin, TX, United States
Conveners: Sai Ravela, Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences (EAPS), Cambridge, United States and Yolanda Gil, University of Southern California, Information Sciences Institute, Los Angeles, CA, United States
Chairs: Sai Ravela, Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences (EAPS), Cambridge, United States, Yolanda Gil, University of Southern California, Information Sciences Institute, Los Angeles, CA, United States, Suzanne A Pierce, Texas Advanced Computing Center, Austin, TX, United States and Enrique Cabral, Instituto de Geofísica, Universidad Nacional Autónoma de México, Departamento de Geomagnetismo y Exploración, Mexico D.F., Mexico
OSPA Liaison: Suzanne A Pierce, Texas Advanced Computing Center, Austin, TX, United States
Cross-Listed:
Proposed Co-Organized Session with:
Abstracts Submitted to this Session:
Yolanda Gil, University of Southern California, Los Angeles, CA, United States and Suzanne A Pierce, Texas Advanced Computing Center, Austin, TX, United States
David R Thompson1, Abigail Allwood2, Steve Chien2,3, Robert O Green4 and David S Wettergreen5, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)Carnegie Mellon University, Pittsburgh, PA, United States
Matthew Johnson-Roberson1, Katherine Skinner1, Jie LI1 and Eduardo Iscar2, (1)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (2)University of Michigan, Ann Arbor, MI, United States
Sai Ravela, Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences (EAPS), Cambridge, United States
Michael Gowanlock, Cody Millard Rude, Justin D Li and Victor Pankratius, MIT Haystack Observatory, Westford, MA, United States
Ibrahim Demir, Tulane University, New Orleans, United States and Yusuf Sermet, IIHR—Hydroscience and Engineering, Iowa City, IA, United States
Julie Newman, Texas A&M University, College Station, TX, United States, Randolph T. Williams, University of Wisconsin-Madison, Geoscience, Madison, United States, Basil Tikoff, Univ Wisconsin, Madison, United States, J. Douglas Walker, University of Kansas, Kansas Geological Survey, Lawrence, KS, United States, Jessica Good, Arizona Geological Survey, Tucson, AZ, United States, Dr. Zachary D Michels, PhD, University of Arizona, Tucson, AZ, United States and Jason Ash, University of Kansas, Lawrence, KS, United States
JOHN N Gentle Jr1, Ari Kahn1, Suzanne A Pierce1, Sheena Wang2, Cara Wade3 and Sean Moran3, (1)Texas Advanced Computing Center, Austin, TX, United States, (2)University of Texas at Austin, Department of Management Information Systems, Austin, TX, United States, (3)Austin Community College, Austin, TX, United States
Enrique Cabral-Cano, Universidad Nacional Autónoma de México, Instituto de Geofísica, Departamento de Geomagnetismo y Exploración, Mexico, CDMX, Mexico, Suzanne A Pierce, University of Texas at Austin, Environmental Sciences Institute, Jackson School of Geosciences, Austin, TX, United States, Gibran Fuentes-Pineda, Universidad Nacional Autonoma de Mexico, Instituto de Investigaciones en Matemáticas Avanzadas y en Sistemas, Mexico City, Mexico and Ritu Arora, University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, United States
