From - Wed Feb 12 09:23:07 2003
Subject: IEEE Vis03: Call for participation
Date: Sat, 25 Jan 2003 02:30:57 +0100 (CET)
From: vis2003@gris.uni-tuebingen.de (IEEE Visualization 2003)



           C A L L   F O R   P A R T I C I P A T I O N
          I E E E   V I S U A L I Z A T I O N   2 0 0 3
                      October 19 - 24, 2003
		       Seattle, Washington
  

Vis 2003 is the premier forum for visualization advances in science
and engineering for academia, government, and industry. This event
brings together researchers and practitioners with a shared interest
in techniques, applications, and technology. We invite you to
participate by submitting your original research and joining us in
beautiful Seattle, Washington.

We extend a special invitation to exhibitors in the field. Seattle is
the hub for basic visualization research, software companies building
innovative visualization products, and advanced technology companies
that routinely use visualization.

Conference Chairs:
Jim Thomas, Pacific Northwest National Laboratory
Hanspeter Pfister, Mitsubishi Electric Research Laboratories

Co-located with Vis 2003 are two highly successful 
Symposia:
* InfoVis 2003, Oct 19-21: IEEE Symposium on Information Visualization
* PVG 2003, Oct 20-21: IEEE Symposium on Parallel and Large-Data 
  Visualization and Graphics. 

The combined symposia with Vis 2003 make this week in Seattle the
place to be to participate in this rapidly expanding field.

For more information, please visit http://vis.computer.org

Submission Deadlines
March 31, 2003     
    Conference and Applications Papers, 
    Tutorial and Panel Proposals 
June 30, 2003
    Workshop Proposals
August 1, 2003
    Poster Submissions and Interactive Demos
October 19, 2003 
    Birds of a Feather Proposals 
    
Conference Topics:
* National Security and Homeland Defense 
* Physical, Life, Social, and Information Science  
* Biomedical, Bioinformatics 
* Biomedicine, and Computational Biology 
* Physical, Life, Social, and Information Science 
* Commerce, Finance, and Visual Data Mining  
* Aerospace, Automotive, Environmental, and other areas in Engineering 
* Large Data and High Dimensional Visualization 
* Algorithms, Data Structures, and Visualization Paradigms 
* Usability and Human Factors 
* Multivariate Visualization 
* Technology Transfer and Applications in the Marketplace 
   

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