ED31E:
Teaching Science Data Analytics Skills Needed to Facilitate Heterogeneous Data/Information Research: The Future Is Here Posters

Session ID#: 1879

Wednesday, 17 December 2014: 8:00 AM-12:20 PM
Poster Hall (Moscone_South)
Chairs:  Steven J Kempler, NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States and Chung-Lin Shie, University of Maryland, Baltimore County (ret.), Baltimore, United States
Primary Convener:  Steven J Kempler, NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States
Co-conveners:  Emily Law, CalTech JPL, Pasadena, CA, United States, Sara J Graves, Univ. of Alabama/Huntsville, Huntsville, United States and Chung-Lin Shie, University of Maryland, Baltimore County (ret.), Baltimore, United States
OSPA Liaison:  Steven J Kempler, NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States
Co-Sponsor(s):
  • DI - Study of the Earth's Deep Interior
  • IN - Earth and Space Science Informatics
Virtual Option?: No
Swirl Theme: Computational Methods across Scales: Personal to High Performance Platforms

Abstracts Submitted to this Session:

 
The Anatomy and Physiology of Data Science (Invited) (4901)
Peter Arthur Fox, Rensselaer Polytechnic Institute, Tetherless World Constellation, Troy, NY, United States
 
From Scientist to Data Scientist: What Students and Educators Need to Know (Invited) (5444)
Robert W Carver, The Weather Channel, San Francisco, CA, United States
 
Teaching the Methodology of Computational Science at Caltech (Invited) (5477)
S. George Djorgovski, California Institute of Technology, Pasadena, CA, United States
 
Developing an occupational skills profile for the emerging profession of “big-data-enabled professional" (22947)
Kim A Kastens, Joyce Malyn-Smith, Joseph Ippolito and Ruth Krumhansl, Education Development Center, Waltham, MA, United States
 
Preparing Earth Data Scientists for ‘the sexiest job of the 21st century’ (13572)
Steven J Kempler, NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States
 
System Learning via Exploratory Data Analysis: Seeing Both the Forest and the Trees (19515)
Linda Habash Krause, NASA Marshall Space Flght Ctr, Huntsville, United States
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