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Adam Perer <[log in to unmask]>
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Adam Perer <[log in to unmask]>
Thu, 19 Dec 2013 13:06:10 -0500
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IEEE VIS 2014 is the premier forum for advances in visualization for academia, government, and industry. This event brings together researchers and practitioners with a shared interest in visualization solutions. The IEEE Information Visualization Conference solicits novel research ideas and innovative applications in all areas of information visualization. Please carefully read the submission guidelines below, especially pertaining to submission venue, the length of manuscripts and optional author anonymity.

Full details at:


Abstract submission (MANDATORY)	Friday, March 21, 2014
Paper submission	Monday, March 31, 2014
Notification of results of first review cycle	Friday, June 6, 2014
Paper submission for second review cycle	Friday, June 27, 2014
Final notification	Friday, July 11, 2014
Camera ready copy	Friday, August 1, 2014
All deadlines are at 5:00pm Pacific Time (PDT).


Papers accepted to IEEE InfoVis 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. 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.


All three conferences 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 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 paper submission guidelines.


The IEEE InfoVis conference solicits research papers on diverse topics related to information visualization. Information visualization, broadly defined, involves the design of visual data representations and interaction techniques that support human activities, where the spatial layout of the visual representation is chosen by the designer. Papers might contribute novel visual encoding or interaction techniques, tools and techniques to support the visual data analysis process, evaluations of InfoVis techniques and tools, models or taxonomies related to InfoVis, systems that support visual data analysis, or experience applying information visualization to a domain specific problem.

Please note that topics primarily involving spatial data (such as scalar, vector and tensor fields) might be a better match for the IEEE SciVis Conference at IEEE VIS. Similarly, topics which clearly focus on visual analytics, e.g., the integration of computational solutions, might be a better match for the IEEE VAST Conference, also at IEEE VIS.

Specific topics include, but are not limited to:

Information visualizations techniques for
	 graphs and trees and other relational or structured data
	 high-dimensional data and dimensionality reduction
	 multi-variate data and heterogeneous data
	 personal or social data
	 text and documents
	 non-numeric data (categorical data, nominal data, etc.)
	 non-expert audiences
	 causality and uncertainty data
	 time series data
	 any other non-spatial data
	 spatial data that is visualized with a new spatial mapping
	 streaming or time-varying data
	 very large data sets (scalability)

Techniques for interacting with visualizations or supporting the data analysis process, including
	 recordkeeping, sensemaking, and storytelling
	 collaboration support, either co-located or distributed
	 integration of visualization with other software tools
	 touch and gesture interactions
	 focus + context methods
	 zooming, navigation and distortion techniques
	 brushing and linking
	 coordinated multiple views
	 data labeling, editing and annotation

Fit of visualizations into the context of use, including
	 visual design and aesthetics
	 cminimal attention contexts, e.g. ambient displays
	 mobile and ubiquitous
	 public environments

Information visualization fundamentals and methodologies
	 visualization systems
	 novel algorithms and mathematics
	 taxonomies and models
	 research methodology, discussions and frameworks
	 cognition and perception issues

	 task and requirements analysis
	 metrics and benchmarks
	 qualitative and quantitative evaluation
	 laboratory and field studies
	 novel evaluation methods
	 usability studies and focus groups
	 case studies
Applied information visualization
	 reports of information visualization in domains where it has impact
	 design studies

Melanie Tory, University of Victoria
Helwig Hauser, University of Bergen
Jeff Heer, Stanford University

For more information, please email: infovis_papers(at)


Adam Perer
IEEE VIS Publicity Co-Chair
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