[ESIP-all] Two key Earth Science Data Analytics (ESDA) Sessions at ESIP
Kempler, Steven J. (GSFC-5860)
steven.j.kempler at nasa.gov
Fri Jul 10 15:47:02 EDT 2015
We will have two key ESDA sessions this summer at the ESIP Meeting, and a poster to boot.
Safe travels, and we'll see you out there.
Session 1: Teaching Science Data Analytics Skills, and the Earth Science Data Scientist (http://commons.esipfed.org/node/7999)
We will have 4 speakers, who will provide their experiences in being, or needing, a Data Scientist in their work. The goal of this session is to discuss and extract real project data scientist/analytics experience needs, initiated by presentation and discussed by session participants. Of special interest is bringing together people who have needs for data scientists (data analytics) and will be able to articulate those needs by the end of the session, and/or; stir ideas: for the use of data analytics in their research or to build tools/services for others.
Wade Bishop, School of Information Sciences, University of Tennessee
Peter Fox, Earth & Environmental Sciences, Tetherless World Constellation, Rensselaer Polytechnic Institute
Lewis McGibbney, Computer Science for Data Intensive Systems Group, Jet Propulsion Laboratory
Karen Stocks, Director, Geological Data Center, Scripps Institution of Oceanography
Session 2: The Need for Earth Science Data Analytics to Facilitate Community Resilience (and other applications) (http://commons.esipfed.org/node/7998)
Data Analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information. In an information science/technology field previously unexplored, the ESIP Earth Science Data Analytics (ESDA) Cluster has made progress in understanding and focusing data analytics pertaining to Earth science, defining the Use Case template, and interpreting ESDA types, based on Use Cases, and not on known data analytics types better suited for the business world. This cluster session goals are to:
- Review our current work (for new participants)
- Discuss and finalize Earth Science Data Analytics definition (published definitions targeting the Business world do not exactly fit)
- Discuss and finalize Earth science Data Analytics types (published types targeting the Business world do not exactly fit)
- Discuss/Collect Use Cases pertaining to the utilization of Earth science data (analytics)in addressing social, economic, and environmental issues
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