[Infovis] IEEE VIS CFP

[Jian Chen]

IEEE VIS 2015

http://ieeevis.org/

25 - 30 October, 2015

Chicago, Illinois, USA

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CALL FOR PAPERS & PARTICIPATION

IEEE VIS 2015 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 related to all areas of
visualization including information visualization, scientific
visualization, and visual analytics in three tracks. This year, the
scientific visualization conference (SciVis), as well as The Visualization
Analytics Science & Technology COnference will include both TVCG track and
conference-only track. For more information, visit

26th IEEE Scientific Visualization Conference (SciVis) CFP:
http://ieeevis.org/year/2015/info/call-participation/scivis-papers

21st IEEE Information Visualization Conference (InfoVis) CFP:
http://ieeevis.org/year/2015/info/call-participation/infovis-papers

10th IEEE Visual Analytics Science & Technology Conference (VAST) CFP:
http://ieeevis.org/year/2015/info/call-participation/vast-papers

Important dates:

   Paper abstracts submission (mandatory): March 21, 2015

   Paper submission: March 31, 2015

CO-LOCATED SYMPOSIA AND WORKSHOPS:

We solicit symposia and workshops related to all areas of visualization
including information visualization, scientific visualization, and visual
analytics. The workshops venue at IEEE VIS 2015 provides an informal
setting for participants to discuss advanced technical topics in
visualization, involve experts in the field, disseminate work in progress,
and promote new ideas. Symposia and workshops should emphasize emerging
ideas, concepts, or technologies that are currently too nascent or too
interdisciplinary for a full symposium, or bring together experts on a
subject to create a report, white-paper, or proposal requiring interactive
work sessions that is of potential interest to a substantial segment of the
visualization community.  A distinction that separates workshops from
tutorials and symposia is that the information flow for a workshop should
not be directed solely from the presenters to the audience. Rather,
workshops should engage the participation of all attendees. Symposia and
workshops at IEEE VIS are open to all registered attendees and 'invitation
only' workshops will not be approved.

Pre-approved  symposia and workshops:

The 6th IEEE Sympoisum on Large-scale Data Analysis and Visualization
(LDAV): http://ldav.org

Data Science Symposium

Visualization for Cyber Security (VizSec) Workshop: http://www.vizsec.org/

VAST Challenge Workshop: http://www.vacommunity.org
<http://www.vacommunity.org/tiki-index.php>

TUTORIALS

Tutorials are intended to cover a wide selection of topics related to IEEE
VIS 2015 and provide background on new tools and application domains
necessary for research in data and information visualization and visual
analytics. Tutorial attendees come from diverse backgrounds, including
volume visualization and rendering, information visualization, geographic
visualization, visual analytics, high performance computing, and scientific
application communities.  We are soliciting half-day tutorial proposals in
the areas of visualization systems, mathematical foundations, methods, and
application areas. We welcome course proposals that introduce emerging
technologies to the visualization community, as well as proposals on more
traditional visualization topics. Topics can include--but are not limited
to--any of those listed in the calls for papers for VAST, InfoVis, and
SciVis. Tutorials with an application focus are also encouraged.  For more
information, visit
http://ieeevis.org/year/2015/info/call-participation/tutorials.

VAST CONTEST

The VAST Contest provides realistic problems and datasets to showcase the
effectiveness of tools and methods in the domain of visual analytics. The
contest collects several entries of varying complexity, aimed at allowing
students, researchers, practitioners, and industry to benchmark their tools
in a replicated way. (More details coming soon)

SCIVIS CONTEST

The 2015 IEEE Scientific Visualization Contest will be an official part of
IEEE VIS 2015. Each year, the contest presents researchers from the
visualization community an opportunity to transfer the latest developments
in visualizing a challenging application scenario.  For more information,
visit http://darksky.slac.stanford.edu/scivis2015/.

DOCTORAL COLLOQUIUM

We solicit submissions to the doctoral colloquium (DC) for IEEE VIS 2015.
The DC is a single-day invitation-only event taking place the day before
IEEE VIS where Ph.D. students in any visualization field---preferably those
at the proposal defense stage or equivalent---present their proposed
dissertation work and receive feedback from leading senior visualization
researchers. We invite contributions from the scientific visualization,
information visualization, and visual analytics student communities. For
more information, visit
http://ieeevis.org/year/2015/info/call-participation/doctoral-colloquium.

Important Date: May 10 2015

LOCATION

The conference venue, the Palmer House Hilton, is a historic hotel located
in the heart of downtown Chicago, the third largest city in the United
States and home to world-class architecture, museums, parks, and
restaurants.

VIS 2015 GENERAL CHAIRS

Michael E. Papka, Argonne National Laboratory and Northern Illinois
University

Maxine Brown, University of Illinois at Chicago

VIS 2015 PROGRAM CHAIRS

Gautam Chaudhary, Alcon LenSx Inc.

Terry Yoo, National Institutes of Health

VIS 2015 PAPER CHAIRS

Bongshin Lee, Microsoft Research (InfoVis)

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

Melanie Tory, University of Victoria (InfoVis)

James Ahrens, Los Alamos National Laboratory (SciVis)

Huamin Qu, Hong Kong University of Science and Technology (SciVis)

Jos Roerdink, University of Groningen (SciVis)

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

Min Chen, Oxford University (VAST)


Best regards,
 -- Jian
--
Jian Chen, PhD, Assistant Prof.
Department of Computer Science and Electrical Engineering
University of Maryland, Baltimore County
http://www.csee.umbc.edu/~jichen