[Esip-cloud] AGU 2017: Big Data Analytics

Huang, Thomas (398G) Thomas.Huang at jpl.nasa.gov
Fri Jul 7 19:39:30 EDT 2017

Dear Colleagues,

Apologies for any cross posting.  We are pleased to announce IN009 (Session ID 24747) on Big Data Analytics at the 2017 Fall American Geophysical Union meeting on December 11-15, 2017 in New Orleans, Louisiana. https://agu.confex.com/agu/fm17/preliminaryview.cgi/Session24747

We would like to invite you to submit an abstract for this Earth and Space Science Informatics session.  AGU 2017 Abstract submission is available at https://fallmeeting.agu.org/2017/abstract-submissions/.  The Deadline for abstract submission is August 2, 2017 (23:59 EDT).

IN009: Big Data Analytics
Big Data pose great challenges for Earth and Space sciences. Cloud Computing emerged as a promising solution for supporting Big Data analytics in areas such as climate science, ocean science, atmospheric science, planetary science, and other geoscience domains for model simulation, data management, information mining, decision support, knowledge discovery and visualization. As a follow-on to the 2016 success at AGU, this session is to capture the latest on applying Cloud Computing for Big Data Analytical problems in all Earth and space domains. Topics include experiments, demonstration, studies, methods, solutions and solution discussion on:

  *   Solutions for big data analytics
  *   Big data management and mining
  *   Application of open source technologies
  *   Automated techniques for data analysis
  *   Browser-based data analytics and visualization
  *   Real time decision support

Contributions that fuse participatory social learning into the Geoscience R&D processes are also welcome.


Thomas Huang, JPL
thomas.huang at jpl.nasa.gov<mailto:thomas.huang at jpl.nasa.gov>

Chaowei (Phil) Yang, GMU
cyang3 at gmu.edu<mailto:cyang3 at gmu.edu>

Tiffany C. Vance, NOAA
tiffany.c.vance at noaa.gov<mailto:tiffany.c.vance at noaa.gov>

Brian Wilson, JPL
bdwilson at jpl.nasa.gov<mailto:bdwilson at jpl.nasa.gov>

Thomas Huang
Jet Propulsion Laboratory
4800 Oak Grove Drive, Mail Stop 158-242, Pasadena, CA 91109
Phone: 818.354.2747, Email: thomas.huang at jpl.nasa.gov<mailto:thomas.huang at jpl.nasa.gov>

DISCLAIMER: All personal and professional opinions presented herein are my own and do not, in any way, represent the opinion or policy of JPL, NASA or Caltech.

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