[ESIP-all] Big Data in the Geosciences - IEEE Big Data Conference
Brand Niemann
bniemann at cox.net
Wed Jun 3 04:54:20 EDT 2015
Excellent, thank you. Working on this as well:
http://semanticommunity.info/Data_Science/EarthCube_Data_Science_Publication
s
http://semanticommunity.info/Data_Science/EarthCube_Data_Science_Publication
s/Key_Documents
using the NSF GEO Dynamic Earth as the living document interface to Big Data
Analytics in NSF Geosciences
Dr. Brand Niemann
Director and Senior Data Scientist/Data Journalist
Semantic Community
http://semanticommunity.info/
http://semanticommunity.info/Data_Science/Federal_Big_Data_Working_Group_Mee
tup
http://www.meetup.com/Federal-Big-Data-Working-Group/
From: ESIP-all [mailto:esip-all-bounces at lists.esipfed.org] On Behalf Of Tom
Narock via ESIP-all
Sent: Monday, June 01, 2015 7:54 AM
To: esip-all at lists.esipfed.org
Subject: [ESIP-all] Big Data in the Geosciences - IEEE Big Data Conference
A second workshop being held at the 2015 IEEE International Big Data
Conference that may be of interest to the ESIP community.
Big Data in the Geosciences
We are pleased to announce the forthcoming Big Data in the Geosciences
Workshop, which will be co-located at the IEEE International Big Data
Conference on Oct 29th - Nov 01st, 2015 in Santa Clara, CA, USA
The workshop focuses on highlighting the state-of-the-art research
surrounding Big Data in the geosciences. We seek to engage the scientific
community in understanding their big data challenges and problems. Finally,
we aim to identify gaps in current technologies as well as gaps in the
education of new data scientists. This workshop will provide a venue for
participants to showcase innovative tools and services, build new
collaborations, and hear from application scientists and educators about the
challenges they face.
Topics of Interest include, but are not limited to the following:
* Big Data in Geosciences - needs, requirements, and use cases
* Big Data infrastructure being developed and deployed at science
facilities
* Semantic representation and integration including Linked Open Data
and efficient query and integration techniques
* Frameworks and methodologies for handling big data in science
applications
* Data analytics utilized/needed for data reduction,
cross-heterogeneous data analysis, and science reserch
* Use of Big Data technologies (e.g. Hadoop and NoSQL) for science
* Visualization of scientific Big Data
* Big Data and Data Science education in the geosciences
More information, including the official call for proposals, logistics, etc.
can be found at the workshop website - <http://geo-bigdata.github.io/>
http://geo-bigdata.github.io/
We look forward to seeing you in Santa Clara . If you feel like tweeting
about the event please use the hashtag #geobigdata15
Conference Organizers
Tom Narock, Program Chair, Marymount University
Marshall Ma, Program Chair, Rensselaer Polytechnic Institute
Peter Baumann, Program Chair, Jacobs University, Germany
Ann Bryant Burgess, Program Committee, Foundation for Earth Science
Pascal Hitzler, Program Committee, Wright State University
Steve Kempler, Program Committee, NASA/Goddard Space Flight Center
Adila Krisnadhi, Program Committee, Wright State University
Chris Mattman, Program Committee, NASA/JPL and University of Southern
California
Lewis McGibbney, Program Committee, NASA/JPL
Kim Whitehall, Program Committee, NASA/JPL
Thanks,
the Workshop Chairs and Program Committee
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