Call for Participation
 

Vis 2004 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, tools, and technology. We invite you to participate by submitting your original research and joining us in Austin, Texas, October 10 - 15, 2004.

Conference Chairs:

Kelly Gaither, University of Texas at Austin
Jim Thomas, Pacific Northwest National Laboratory

Co-located with Vis 2004 are two highly successful Symposia:

InfoVis 2004 IEEE Symposium on Information Visualization
October 10 - 12, 2004
VolVis 2004 IEEE Symposium on Volume Visualization
October 11 - 12, 2004

The combined symposia with Vis 2004 make this week in Austin the place to be to participate in this rapidly expanding field.

Advance Registration

Click here for fee schedule.

Click here to register.

Attendees From Outside USA

If you are from outside the United States and are planning on attending Vis 2004, please click here for important visa information.

Submission Deadlines

March 31, 2004 Abstracts of Applications Papers
Abstracts of Technical Papers
Abstract for VolVis
   
April 9, 2004 Full text of Applications Papers (Cutoff 11:59 PM Pacific Dayight Time)
Full text of Technical Papers (Cutoff 11:59 PM Pacific Dayight Time)
Tutorial Proposals
Full text of VolVis Papers (Cutoff 11:59 PM Pacific Dayight Time)
Full text of InfoVis Papers (Cutoff 11:59 PM Pacific Dayight Time)
   
May 31, 2004 Panel Proposals (Deadline extended)
   
June 21, 2004 InfoVis Posters Submissions
InfoVis Contest Submissions
   
June 30, 2004 Workshop Proposals
   
August 1, 2004 Poster Submissions
   
August 25, 2004 Interactive Demos Deadline extended!
   
September 6, 2004 Visualization Contest Submissions (New Deadline!)
   
October 1, 2004 Birds of a Feather Proposals
   
Conference Topics Conference topics include fundamental visualization algorithms and systems and their applications in various domains. A non-exclusive list includes:
  Visualization Algorithms, Data Structures, and Paradigms
  Usability and Human Factors in Visualization
  Multivariate Visualization
  Large Data and High Dimensional Visualization
  Visualization in Physical, Life, Social, and Information Science
  Visualization in Bioinformatics
  Visualization in Biomedicine
  Visualization in Commerce, Finance, and Visual Data Mining
  Visualization in Engineering disciplines, such as Aerospace and nvironmental
  Visualization in the Marketplace
  Visualization in National Security and Homeland Defense