[Infovis] CFP - Submit papers now for the Visualization and Analytics Minitrack at HICSS 47, January 6-9, 2014 Big Island, Hawaii - Deadline June 15, 2013

David S. Ebert ebertd at ecn.purdue.edu
Tue Jun 11 02:52:19 CEST 2013


We are soliciting paper in visualization and analytics for decision support,
operational management, and scientific discovery as part of the minitrack
with the same name at HICSS 47. Accepted paper will appear in the
proceedings as well as the IEEE Digital Library. HICSS is always one of the
top conferences for downloads in the IEEE Digital Library!

A description of the paper topics is below. Please contact us with any
questions.

Here are  the relevant links:
-  CFP document: http://www.hicss.hawaii.edu/hicss_47/47cfp.pdf 
-  the conference homepage:
http://www.hicss.hawaii.edu/hicss_47/apahome47.htm  
and 
- our track: http://www.hicss.hawaii.edu/hicss_47/da.html  

We look forward to receiving your submissions,

David, Tom, Kelly


David Ebert
Tom Ertl
Kelly Gaither
------------------------------------------
This minitrack will have applications in a broad range of situations where
human expertise must be brought to bear on problems characterized by massive
datasets and data that are uncertain in fact, relevance, location in space
and position in time. Examples include environmental science and
technologies, natural resources and energy, health and related life
sciences, safety and security (aircraft safety, law enforcement,
antiterrorism, disaster relief) and business processes. We encourage
submissions that extend the areas of use to include a broader range of
analytic tasks such as science and technology, public health, business
intelligence, financial analysis, and other domains where interactive
visualization systems may be used to improve human decision making.

Submissions may include studies of visual analytics and decision support in
the context of an organization (e.g., communication between analysts and
policy-makers), perceptual and cognitive aspects of the analytic task, and
collaborative analysis using visual information systems.

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- Dr. David S. Ebert, School of Electrical and Computer Engineering     -
- Silicon Valley Professor of Electrical and Computer Engineering       -
- Purdue University; 465 Northwestern Ave., West Lafayette, IN 47907    -
- Director, Visual Analytics for Command, Control, and Interoperability -
-    Environments (VACCINE), DHS CCI Center of Excellence               -
-    http://www.VisualAnalytics-CCI.org                                 -
- Director, Purdue Visualization and Analytics Center, www.purvac.org   -
- ebertd at purdue.edu http://www.ece.purdue.edu/~ebertd                   -
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