IEEE VIS 2016

http://ieeevis.org/

23 - 28 October, 2016

Baltimore, Maryland, USA


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Twitter: https://twitter.com/ieeevis

Facebook: https://www.facebook.com/ieeevis

LinkedIn: https://goo.gl/5qABWF



CALL FOR PAPERS & PARTICIPATION

IEEE VIS 2016 is the premier forum for advances in visualization. The
event-packed week brings together researchers and practitioners from
academia, government, and industry to explore their shared interests in
tools, techniques, and technology. We invite you to participate in IEEE
Visual Analytics Science and Technology (VAST), IEEE Information
Visualization (InfoVis), and IEEE Scientific Visualization (SciVis) by
sharing your research, insights, experience, and enthusiasm.



FULL PAPERS

We solicit high quality papers in all areas of visualization including
information visualization, scientific visualization, and visual analytics
in three tracks. For more information, visit

27th IEEE Scientific Visualization Conference (SciVis) CFP:
 http://ieeevis.org/year/2016/info/call-participation/scivis-papers
<http://ieeevis.org/year/2016/info/call-participation/scivis-papers>

22nd IEEE Information Visualization Conference (InfoVis) CFP:
http://ieeevis.org/year/2016/info/call-participation/infovis-papers

11th IEEE Visual Analytics Science & Technology Conference (VAST) CFP:
http://ieeevis.org/year/2016/info/call-participation/vast-papers



IMPORTANT DATES

Paper abstracts submission (mandatory): March 21, 2016

Paper submission: March 31, 2016



LOCATION

The conference will be returning to Baltimore, Maryland. Located on the
mid-Atlantic coast, the city is easy to reach and has wonderful attractions
as part of the Inner Harbor district near the conference hotel.



VIS 2016 GENERAL CHAIR

Terry Yoo, National Institutes of Health



VIS 2016 VICE CHAIR

Jesus J Caban, Walter Reed National Military Medical Center



VIS 2016 PROGRAM CHAIRS

Gautam Chaudhary, Alcon LenSx Inc.

James Ahrens, Los Alamos National Laboratory



VIS 2016 PAPER CHAIRS

Gennady Andrienko, Fraunhofer IAIS and City University London (VAST)

Shixia Liu, Tsinghua University (VAST)

John Stasko, Georgia Institute of Technology (VAST)

Bongshin Lee, Microsoft Research (InfoVis)

Kwan-Liu Ma, University of California, Davis (InfoVis)

Niklas Elmqvist, University of Maryland, College Park (InfoVis)

James Ahrens, Los Alamos National Laboratory (SciVis)

Mike Kirby, University of Utah (SciVis)

Jos Roerdink, University of Groningen (SciVis)



Please kindly note that the abstract submission is mandatory.



Best regards,

 - Jian, Wenwen, and Alex

(VIS publicity chairs)


-------------------------------------------------------------
Jian Chen, PhD, Assistant Professor
UMBC Innovation Fellow
Computer Science and Electrical Engineering
University of Maryland, Baltimore County
http://www.csee.umbc.edu/~jichen

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