IN13C:
Intelligent Systems for Geosciences: Practices, Technologies, and Applications of Advanced Reasoning that Are Defining New Frontiers and Accelerating Scientific Discovery Posters

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Session ID#: 13667

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
Co-Organized with:
Public Affairs, Atmospheric Sciences, Hydrology, and Public Affairs

Proposed Co-Organized Session with:
  • H - Hydrology
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1920 Emerging informatics technologies [INFORMATICS]
1968 Scientific reasoning/inference [INFORMATICS]
1976 Software tools and services [INFORMATICS]
9820 Techniques applicable in three or more fields [GENERAL OR MISCELLANEOUS]

Abstracts Submitted to this Session:

The IS-GEO RCN: Fostering Collaborations for Intelligent Systems Research to Support Geosciences (196268)
Yolanda Gil, University of Southern California, Los Angeles, CA, United States and Suzanne A Pierce, Texas Advanced Computing Center, Austin, TX, United States
Real-Time Mapping Spectroscopy on the Ground, in the Air, and in Space (Invited) (124570)
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
Large-scale deep learning for robotically gathered imagery for science (Invited) (191285)
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
Dynamically Deformable Resampled Random Manifolds for High-dimensional, Nonlinear Inference in Geoscience in the presence of Uncertainty (185424)
Sai Ravela, Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences (EAPS), Cambridge, United States
GPU Accelerated Clustering for Arbitrary Shapes in Geoscience Data (139334)
Michael Gowanlock, Cody Millard Rude, Justin D Li and Victor Pankratius, MIT Haystack Observatory, Westford, MA, United States
Knowledge Discovery, Integration and Communication for Extreme Weather and Flood Resilience Using Artificial Intelligence: Flood AI Alpha (186371)
Ibrahim Demir, Tulane University, New Orleans, United States and Yusuf Sermet, IIHR—Hydroscience and Engineering, Iowa City, IA, United States
Strabo: An App and Database for Structural Geology and Tectonics Data (191906)
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
Data fusion and machine learning to identify threat vectors for the Zika virus and classify vulnerability (196330)
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
Curricular Design for Intelligent Systems in Geosciences Using Urban Groundwater Studies. (188683)
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
A Bloom Filter-Powered Technique Supporting Scalable Semantic Discovery in Data Service Networks (198941)
Runyu Shi1, Jia Zhang2, Qihao Bao1, Tsengdar J Lee3 and Rahul Ramachandran4, (1)Carnegie Mellon University, Pittsburgh, PA, United States, (2)Carnegie Mellon University Silicon Valley, Moffett Field, CA, United States, (3)NASA Headquarters, Washington, United States, (4)NASA Marshall Space Flight Center, Huntsville, United States
Image Classification Workflow Using Machine Learning Methods (196955)
Michael Steven Christoffersen1, Madison Roser2, Rafael Valadez-Vergara3, José Alberto Fernández-Vega3, Suzanne A Pierce4 and Ritu Arora5, (1)University of Arizona, Lunar and Planetary Laboratory, Tucson, United States, (2)University of Texas at Austin, College of Liberal Arts, Austin, TX, United States, (3)Universidad Nacional Autónoma de México, Facultad de Ingeniería, Mexico City, Mexico, (4)Texas Advanced Computing Center, Austin, TX, United States, (5)University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, United States
Development of an expert analysis tool based on an interactive subsidence hazard map for urban land use in the city of Celaya, Mexico (194184)
Fabiola Gonzalez Dominguez1, Ana Laura Nila Fonseca1, Arisa Ruangsirikulchai2, Adam Alloy3, JOHN N Gentle Jr4, Enrique Cabral5 and Suzanne A Pierce4, (1)National Autonomous University of Mexico, Ciudad DE Armería, Mexico, (2)University of Texas at Austin, Austin, United States, (3)University of Texas at Austin, Austin, TX, United States, (4)Texas Advanced Computing Center, Austin, TX, United States, (5)Instituto de Geofísica, Universidad Nacional Autónoma de México, Departamento de Geomagnetismo y Exploración, Mexico D.F., Mexico
Big Data Processing for a Central Texas Groundwater Case Study (190488)
Ana Cantu1, Omar Rivera2, Andrea Martinez2, Daniel Hardesty Lewis3, JOHN N Gentle Jr4, Gibran Fuentes2 and Suzanne A Pierce5, (1)University of Texas at Austin, Austin, TX, United States, (2)Universidad Nacional Autonoma de Mexico, Mexico City, Mexico, (3)University of Texas at Austin, Department of Mathematics, Austin, TX, United States, (4)Texas Advanced Computing Center, Austin, TX, United States, (5)University of Texas at Austin, Environmental Sciences Institute, Jackson School of Geosciences, Austin, TX, United States
3D for Geosciences: Interactive Tangibles and Virtual Models (193756)
Megan Matheney1, James Eric Pippin2, Naredo Kitsch1, Giselle Rosado1, Zoi Thompson1 and Suzanne A Pierce3, (1)University of Texas at Austin, Austin, TX, United States, (2)Fort Valley State University, Cooperative Developmental Energy Program, Fort Valley, GA, United States, (3)Texas Advanced Computing Center, Austin, TX, United States
A Comparative Study of Point Cloud Data Collection and Processing (179608)
James Eric Pippin1,2, Megan Matheney3, JOHN N Gentle Jr4, Suzanne A Pierce4 and Gibran Fuentes-Pineda5, (1)Fort Valley State University, Cooperative Developmental Energy Program, Fort Valley, GA, United States, (2)Pennsylvania State University, State College, PA, United States, (3)University of Texas at Austin, Austin, TX, United States, (4)Texas Advanced Computing Center, Austin, TX, United States, (5)Universidad Nacional Autonoma de Mexico, Instituto de Investigaciones en Matemáticas Avanzadas y en Sistemas, Mexico City, Mexico

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