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Big Data in the Geosciences, 2015 IEEE International Big Data Conference, 29 October, USA

Deadline:

August 30, 2015

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Workshop description

Computing is fundamentally transforming science. We have entered the so- called Fourth Paradigm in which observational data is threatening to overwhelm scientists. There are now numerous examples of the five "V's" of Big Data (Volume, Velocity, Variety, Veracity, and Value) impacting the geosciences. The rapid improvements in scientific instruments have led to a massive growth in data production. As data volumes often prohibit transfer of such Big Data, it is becoming increasingly important to develop sustainable infrastructure, clever data management and reduction analytics, and community, around Geoscience Big Data. The increasing emphasis on sharing and collaborating has led to a growing focus on discovery and variety.

In addition, scientific data, and the processes used to analyze that data, can differ substantially from those encountered with Big Data in other fields. Moreover, educating the next generation of geoscientists is itself becoming a pressing issue.

This workshop focuses on highlighting the state-of-the-art research surrounding Big Data in the geosciences. The Workshop Chairs and Program Committee, with assistance from the Open Geospatial Consortium, 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

  1. Big Data in Geosciences - needs, requirements, and use cases
  2. Big Data infrastructure being developed and deployed at science facilities
  3. Semantic representation and integration including Linked Opend Data and efficient query and integration techniques
  4. Frameworks and methodologies for handling big data in science applications
  5. Data analytics utilized/needed for data reduction, cross-heterogeneous data analysis, and science reserch
  6. Use of Big Data technologies (e.g. Hadoop and NoSQL) for science
  7. Visualization of scientific Big Data
  8. Big Data and Data Science education in the geosciences

Paper Submission

Paper submissions can be up to 10 pages and must conform to the IEEE 2-column format
CyberChair submission is available here

Important Dates

Date

Deadline

Aug 30, 2015 Due date for full workshop paper submissions
Sept 20, 2015 Notification of paper acceptance to authors
Oct 5, 2015 Camera-ready version of accepted papers
Oct 29 - Nov 1, 2015 Workshops and Conference

Conference Organizers

Tom Narock Program Chair Marymount University, USA
Marshall Ma Program Chair Rensselaer Polytechnic Institute, USA
Peter Baumann Program Chair Jacobs University, Germany
Ann Bryant Burgess Program Committee Foundation for Earth Science
Yolanda Gil Program Committee Information Sciences Institute, University of Southern California
Pascal Hitzler Program Committee Wright State Univerity
Steve Kempler Program Committee NASA Goddard Space Flight Center
Adila Krisnadhi Program Committee Wright State University
Chris Mattmann Program Committee NASA Jet Propulsion Laboratory & University of Southern California
Lewis John McGibbney Program Committee NASA Jet Propulsion Laboratory
Marlon Pierce Program Committee Indiana University
Marru Suresh Program Committee Indiana University
Kim Whitehall Program Committee NASA Jet Propulsion Laboratory

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