V21A:
Data Science and Geochemistry: Applying a Data-Driven Approach in Geochemistry-Centric Studies I


Submit an Abstract to this Session


Session ID#: 57245

Session Description:
Driven by the increasing volume, variety and velocity of data, data mining methods have been applied in many scientific fields. The assemblage of large quantities of geochemical, mineralogical, geophysical, and geobiological data are demanding innovative analytic methods in data interpretation. We welcome presentations about collection efforts for big data, data mining techniques, and case studies of data interpretation, including but not limited to: 1) Earth surface processes and environmental geochemistry, e.g., delineating the impacts of natural and anthropogenic processes on water chemistry; 2) Geochemical evolution of the Earth, including both the solid Earth and the paleoclimate; 3) Geobiology, e.g., identifying relationships among metagenomics and physical/chemical parameters in a wide range of environments; and 4) Cross-disciplinary studies, e.g., the co-evolution of geosphere and biosphere, the integration of geophysical and geochemical characterizations of the critical zone systems.
Primary Convener:  Tao Wen, Pennsylvania State University, Earth and Environmental Systems Institute, University Park, PA, United States
Conveners:  Fang Huang, Rensselaer Polytechnic Institute, Tetherless World Constellation, Troy, NY, United States, Chao Liu, National Meteorological Centre, Beijing, China and Lisa Warden, Carnegie Institution for Science Washington, Washington, DC, United States
Primary Liaison:  Tao Wen, Pennsylvania State University, Earth and Environmental Systems Institute, University Park, PA, United States
Chairs:  Tao Wen, Pennsylvania State University, Earth and Environmental Systems Institute, University Park, PA, United States and Fang Huang, CSIRO, Mineral Resources, Kensington, WA, Australia
OSPA Liaison:  Tao Wen, Pennsylvania State University, Earth and Environmental Systems Institute, University Park, PA, United States
Co-Organized with:
Volcanology, Geochemistry and Petrology, and Earth and Space Science Informatics

Cross-Listed:
  • B - Biogeosciences
  • EP - Earth and Planetary Surface Processes
  • H - Hydrology
  • IN - Earth and Space Science Informatics

Proposed Co-Organized Session with:
  • B - Biogeosciences
  • EP - Earth and Planetary Surface Processes
  • H - Hydrology
  • IN - Earth and Space Science Informatics
Index Terms:

0498 General or miscellaneous [BIOGEOSCIENCES]
1039 Alteration and weathering processes [GEOCHEMISTRY]
1065 Major and trace element geochemistry [GEOCHEMISTRY]
1914 Data mining [INFORMATICS]

Abstracts Submitted to this Session:

Frontiers in data-driven solid-earth geochemistry in the Precambrian (Invited) (395839)
Brenhin Keller, United States
Investigating the Emergence and Geochemical Evolution of Enriched Basaltic Magmas: A Data-Driven Approach (432541)
Morgan J Williams1, Jens F Klump2 and Steve John Barnes2, (1)CSIRO Mineral Resources, Kensington, WA, Australia, (2)CSIRO Mineral Resources, Perth, Australia
Natural Kind Cluster Analysis of Mineral Chemistry Data: A New Approach to Mineral Classification (351369)
Robert M Hazen, Carnegie Institution for Science, Earth and Planets Laboratory, Washington, United States
Biological Utilization of Cobalt from the Geosphere, and the expanding network of microbial metabolisms in the Archean eon (386904)
Dr. Elisha K. Moore, PhD, Rutgers University New Brunswick, Marine and Coastal Sciences, New Brunswick, NJ, United States, Jihua Hao, Rutgers University, New Brunswick, NJ, United States, Anirudh Prabhu, Carnegie Institution for Science, Earth and Planets Laboratory, Washington, United States, Hao Zhong, Rensselaer Polytechnic Institute, Tetherless World Constellation, Troy, NY, United States, Benjamin Ivan Jelen, Rutgers University New Brunswick, New Brunswick, NJ, United States, Michael Meyer, Carnegie Institution for Science Washington, Washington, DC, United States, Robert M Hazen, Carnegie Inst, Washington, DC, United States and Paul G. Falkowski, Rutgers University, Department of Marine and Coastal Sciences, New Brunswick, NJ, United States
Using Big Data (and Little Data) to Understand the Effects of Shale Gas Development on Water Quality (Invited) (431334)
Susan L Brantley1, Tao Wen2, Zhenhui (Jessie) Li3, Mengqi Liu3, Guanjie Zheng3, Alison Herman4, Matthew S Gonzales5, Josh Woda2 and Xianzeng Niu2, (1)Pennsylvania State University Main Campus, Earth & Environmental Systems Institute, University Park, PA, United States, (2)Pennsylvania State University, Earth and Environmental Systems Institute, University Park, PA, United States, (3)Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, United States, (4)Pennsylvania State University Main Campus, Earth and Environmental Systems Institute, University Park, PA, United States, (5)Pennsylvania State University, Earth and Environmental Systems Institute and Department of Geosciences, University Park, PA, United States
Finding locations of good water candidates through statistical analysis of groundwater quality and hydrogeological data (376675)
Hakyeong Estelle Yu, Seoul National University, Seoul, Korea, Republic of (South), Kang Kun Lee, Seoul National University, School of Earth and Environmental Sciences, Seoul, South Korea and Dugin Kaown, Seoul Nation Univ, Seoul, South Korea
Multivariate and Network Analysis of Microbe-Environment Interactions Across a Geochemically Active Subduction Zone in Northern Costa Rica (363067)
Katherine M Fullerton, University of Tennessee, Microbiology, Knoxville, TN, United States, Donato Giovannelli, Rutgers University New Brunswick, New Brunswick, NJ, United States, Mayuko Nakagawa, Tokyo Institute of Technology, Department of Earth and Planetary Sciences, Tokyo, Japan, Matthew O Schrenk, Michigan State University, Department of Earth and Environmental Sciences, Department of Microbiology, Genetics, and Immunology, East Lansing, MI, United States, Karen G Lloyd, University of Tennessee, Microbiology, Knoxville, United States and DCO Biology Meets Subduction Science Party
Boosting Data Science in Geochemistry: We Need Global Geochemical Data Standards and Networking! (465851)
Kerstin Lehnert, Lamont-Doherty Earth Observatory, Palisades, United States, Lesley A Wyborn, Australian National University, Canberra, Australia, Simon J D Cox, CSIRO Land and Water, Highett, Australia, Jens F Klump, CSIRO Earth Science Resource Engineering, Perth, Australia and Brent McInnes, Curtin University, John de Laeter Centre, Faculty of Science & Engineering, Perth, WA, Australia

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