VAST Papers


The IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), founded in 2006 as the IEEE Symposium on Visual Analytics Science and Technology, is the first 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, including applications in science, engineering, medicine, health, media, business, social interaction, and security and investigative analysis. We invite you to participate in IEEE VAST 2013 by submitting your original research, application, or evaluation paper.

As a new feature for 2013, papers accepted to IEEE VAST will appear in a special issue (Dec 2013) of the IEEE Transactions on Visualization and Computer Graphics (TVCG). This special issue will be published online the first day of the conference. Papers (including supplemental material) will undergo a revision and review cycle after initial notification of review results in order to ensure that they are acceptable for publication and presentation in the journal. The paper and supplemental material will also appear 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 all aspects of science, engineering, business, and government 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 the opportunity of the decade. 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.



Abstract submission (MANDATORY)Thursday, March 21, 2013
Paper submissionSunday, March 31, 2013
Notification of results of first review cycleThursday, June 6, 2013
Paper submission for second review cycleThursday, June 27, 2013
Final notificationThursday, July 11, 2013
Camera ready copyThurssday, August 1, 2013

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



All three conferences appearing at IEEE VIS 2013 (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.


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


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.
  • 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, humanities, business, public safety, commerce, and logistics as far as they contribute to Visual Analytics are of particular interest.
  • Evaluation methods, security & privacy, interoperability, and technology practice & experience.
  • Discourse visualization and visual representations of the reasoning process.
  • Mathematical foundations of data transformations to allow interactive visual analysis.
  • Algorithms and technologies which are fundamental for visual analytics, including user and device adaptivity, web interfaces and mobile devices.



Chris North, Virginia Tech
Giuseppe Santucci, University of Roma "La Sapienza"

Email: vast_papers(at)ieeevis.org.