OD24B:
Feast After the Famine: Discoveries Based on Big Data Posters


Session ID#: 28725

Session Description:
The quantity and variety of data and data science tools available to oceanographers, ecologists, and marine scientists continue to increase at exponential rates, revolutionizing hypothesis testing and enabling new discoveries.  How can new data and combinations of data from different sources be used to address significant, longstanding questions across the marine sciences? What insights can be gleaned by applying data science methods and tools to existing data sources?  This session welcomes submissions that highlight data science in the ocean sciences; these could include insights gained from technology (Argo floats, gliders, satellites, ocean observatories, flow cytometry, acoustics, etc.), methods (machine learning, statistical modeling, computer vision, image analysis, data management, visualization, etc.) or techniques (genomics, transcriptomics, proteomics, metabolomics, velocimetry, high resolution modeling, etc.) .  We also encourage submissions related to education including designing data science courses and improving reproducibility of results
Primary Chair:  Allison Smith-Mislan, University of Washington Seattle Campus, School of Oceanography, Seattle, WA, United States
Co-chairs:  Julia Steward Lowndes1, Sophie Clayton2 and James R Collins2, (1)National Center for Ecological Analysis and Synthesis, Santa Barbara, United States(2)University of Washington, School of Oceanography, Seattle, WA, United States
Moderators:  Allison Smith-Mislan, University of Washington Seattle Campus, School of Oceanography, Seattle, WA, United States, James R Collins, University of Washington, School of Oceanography, Seattle, WA, United States and Sophie Clayton, University of Washington, eScience Institute, Seattle, WA, United States
Student Paper Review Liaison:  Allison Smith-Mislan, University of Washington Seattle Campus, School of Oceanography, Seattle, WA, United States
Index Terms:

1926 Geospatial [INFORMATICS]
4259 Ocean acoustics [OCEANOGRAPHY: GENERAL]
4815 Ecosystems, structure, dynamics, and modeling [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
4855 Phytoplankton [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
Cross-Topics:
  • IS - Ocean Observatories, Instrumentation and Sensing Technologies
  • PO - Physical Oceanography: Other

Abstracts Submitted to this Session:

Implementing unsupervised machine learning algorithms in the Spatial Temporal Oceanographic Query System (STOQS) (309482)
Rachel Kahn, Mike McCann and Danelle E Cline, Monterey Bay Aquarium Research Institute, Moss Landing, CA, United States
Ecological Marine Units as a Framework for Collaborative Data Science and Knowledge Discovery (309871)
Dawn Wright1, Roger G Sayre2, Sean Breyer3, Kevin A. Butler4, Keith VanGraafeiland4, Mark J. Costello5, Kathy Goodin6, Maria Kavanaugh7, Noel Cressie8, Zeenatul Basher2, Peter T Harris9 and John M Guinotte10, (1)ESRI, Redlands, CA, United States, (2)U.S Geological Survey, Washington, DC, United States, (3)Esri, Living Atlas of the World, Redlands, CA, United States, (4)Environmental Systems Research Institute, Redlands, CA, United States, (5)Jhongli City, Taoyua, Taiwan, (6)NatureServe, Science Division, Marine Program, Arlington, VA, United States, (7)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (8)Jet Propulsion Laboratory, Pasadena, CA, United States, (9)GRID-Arendal, Arendal, Norway, (10)U.S. Fish and Wildlife Service, Ecological Services, Mountain Prairie Region 6, Lakewood, CO, United States
Detecting Community Shifts in Phytoplankton Populations Using Statistical Learning (Invited) (321167)
Corinne Jones1, Sophie Clayton2,3, E. Virginia Armbrust2 and Zaid Harchaoui1,3, (1)University of Washington, Statistics, Seattle, WA, United States, (2)University of Washington, School of Oceanography, Seattle, WA, United States, (3)University of Washington, eScience Institute, Seattle, WA, United States
Spatial Reconstruction of Ocean Audio Data (326428)
Grady Kestler1, Shahrokh Yadegari1, Bob Dziak2 and Adrienne Copeland3, (1)University of California San Diego, La Jolla, CA, United States, (2)NOAA Pacific Marine Environmental Laboratory, Seattle, WA, United States, (3)NOAA Office of Ocean Exploration and Research, United States

See more of: Ocean Data Management