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9 - 14 NOVEMBER 2014, PARIS, FRANCE
16days until
vis 2014

VAST Papers

CALL FOR PARTICIPATION: VAST Papers

NEW: Increased exposure and participation through additional Conference-only Papers. Innovative VAST submissions with focuses beyond the scope of the IEEE Transactions on Visualization and Computer Graphics (TVCG) may be accepted as conference-only papers, in addition to the normal TVCG acceptances (see details below).

The IEEE Conference on Visual Analytics Science and Technology (IEEE VAST) is the leading international conference dedicated to advances in Visual Analytics Science and Technology. The scope of the conference, co-located with the annual IEEE Scientific Visualization Conference and the IEEE Information Visualization Conference, includes both fundamental research contributions within visual analytics as well as applications of visual analytics in science, engineering, business and commerce, medicine and healthcare, media and social interaction, arts and humanities, public safety, logistics, and other disciplines. We invite you to participate in IEEE VAST 2014 by submitting your original research and application papers.

IEEE VAST 2014 will feature an expanded set of accepted papers in two categories. (a) Papers that exhibit the highest quality in terms of originality, rigor and significance will appear in a special issue (Dec 2014) of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This special issue will be published online the first day of the conference. The acceptance rate is anticipated to be similar to that of 2013 subject to the decisions resulting from the review process. After initial notification of review results, conditionally accepted papers (including supplemental material) will undergo a revision and review cycle in order to ensure that they are acceptable for publication and presentation in the journal. The paper and supplemental material will also be published in the IEEE Digital Library. (b) Those papers, which feature high quality new contributions but are not accepted for TVCG publication, will be offered an opportunity to be presented as Conference-only Papers during IEEE VAST, and will be included on the IEEE VIS 2014 USB and published online. After initial notification of review results, conditionally accepted papers (including supplemental material) will undergo a revision and approval cycle. The paper and supplemental material will also be published in the IEEE Digital Library.

Visual analytics is the science of analytical reasoning supported by highly interactive visual interfaces. People use visual analytics tools and techniques in different academic disciplines as well as in real world environments (e.g., media, business, industry, government, etc.) to synthesize information into knowledge; derive insight from massive, dynamic, and often conflicting data; detect the expected and discover the unexpected; provide timely, defensible, and understandable assessments; and communicate assessments effectively for action. The issues stimulating this body of research provide a grand challenge in science: turning information overload into a significant opportunity. Visual analytics requires interdisciplinary science, going beyond traditional scientific and information visualization to include statistics, mathematics, knowledge representation, management and discovery technologies, cognitive and perceptual sciences, decision sciences, and more. Your submission should help develop and/or apply visual analytics, clearly showing an interdisciplinary approach.

IMPORTANT DATES

Abstract submission (MANDATORY)Friday, March 21, 2014
Paper submissionMonday, March 31, 2014
Notification of results of first review cycleFriday, June 6, 2014
Paper submission for second review cycleFriday, June 27, 2014
Final notificationFriday, July 11, 2014
Camera ready copyFriday, August 1, 2014

All deadlines are at 5:00pm Pacific Time (PDT).

 

SUBMISSION

All three conferences appearing at IEEE VIS 2014 (VAST, InfoVis and SciVis) use the Precision Conference System (PCS) to handle their submission and reviewing process. PCS is available at https://precisionconference.com/~vgtc/. When submitting your manuscript please make sure that you submit it to your intended conference by clicking the appropriate conference header in the conference system landing page. If you are unsure which venue you should submit to, you can use the call for papers on this website, as well as last year's published proceedings as a guideline.

DETAILED SUBMISSION GUIDELINES

When preparing your submission, please make sure that you carefully read and adhere to the submission guidelines.

TOPICS

Suggested topics for papers include, but are not limited to:

  • Visual representations and interaction techniques including the principles for depicting information, new visual paradigms, statistical graphics, geospatial visualizations, the science of interaction, and approaches for generating visual analytic visualization and interactions.
  • Data management and knowledge representation including scalable data representations for high volume and stream data, statistical and semantic signatures, and synthesis of information from diverse data sources.
  • Mathematical foundations and algorithms for data transformations to allow interactive visual analysis.
  • Analytical reasoning including the human analytic discourse, knowledge discovery methods, perception and cognition, and collaborative visual analytics.
  • Presentation, production, and dissemination methods including methods and tools for capturing the analytics process, and story telling for specific and varying audiences.
  • Applications of visual analysis techniques, including but not limited to applications in science, engineering, business and commerce, medicina and healthcare, media and social interaction, arts and humanities, public safety, logistics, and other disciplines.
  • Evaluation methods, security & privacy, interoperability, and technology practice & experience.
  • Discourse visualization and visual representations of the reasoning process.
  • Algorithms and technologies which are fundamental for visual analytics, including user and device adaptivity, web interfaces and mobile devices.

CHAIRS

Min Chen, Oxford University
David Ebert, Purdue University
Chris North, Virginia Tech

Email: vast_papers(at)ieeevis.org.