Call for Participation
Call for Papers
With this call for papers, we invite the active participation in EuroVis 2014
with the presentation of high-quality visualization research. EuroVis 2014 will
be held in Swansea, Wales, UK, June 9-13, 2014.
EuroVis 2014 is the 16th annual scientific gathering on visualization jointly organized by the Eurographics Working Group on Data Visualization and the IEEE Visualization and Graphics Technical Committee. Based on the continued growth and success of the event, EuroVis will be a conference for the third time.
Papers accepted for EuroVis 2014 are published in a special issue of Computer Graphics Forum, the International Journal of the Eurographics Association, after a two-stage peer-reviewing process. Submissions should be 9 pages (at most), excluding references, and 10 pages (at most), in total.
For papers that have previously been reviewed for other venues and have been rejected or withdrawn, the authors can provide a cover letter describing the changes they have made to comply with reviewers' comments and requests. This procedure is strongly recommended and it is meant to improve the efficiency of the reviewing process but does not imply reviewer continuity. The cover letter is to be submitted as an 'Additional Material'.
Papers may be submitted as technique, systems, application, evaluation or theory papers, but these classifications may be changed during the review process. For a brief discussion of the different types of paper, please consult the guidelines on the conference web page.
Please see the important dates page.
Suggested topics for research papers include, but are not limited to:
Visualization Taxonomies and Models
Non-Spatial Data: visualization of graphs and trees, high-dimensional data, dimensionality reduction for visualization, ambient information in visualization, text and document visualization, and the visualization of time series data
Large Data Visualization: visualization of time-varying data, streams, compression techniques, parallel and distributed visualization, scalability, visualization over networks, visualization hardware and acceleration techniques
Spatial Data in Visualization: visualization of scalar, vector, and tensor fields, multi-field, multi-variate, and multi-dimensional visualization, multi-resolution techniques, visualization of irregular and unstructured grid data, geographic data, and molecular data
Visualization Techniques: metrical, geometrical, topological, pixel-oriented, point-based, volume-based, icon-/glyph-based, graph-based, feature-based, hierarchical, illustrative, view-dependent, focus+context, statistical, and animated visualization techniques.
Visual Analytics, Visual Data Mining, and Knowledge Discovery: in particular the integration of computational approaches with interactive visualization, visualization for exploration, analysis, and presentation.
Interaction: human-computer interaction for visualization, interaction design, zooming and navigation, linking & brushing, coordinated multiple views, data editing, manipulation, and deformation, guided visualization and interactive visual storytelling.
Evaluation and User Studies: task and requirements analysis, metrics and benchmarks, qualitative evaluation, quantitative evaluation, laboratory studies, field studies, usability studies
Application Areas of Visualization: in the physical sciences, bioinformatics and in life sciences, and in engineering, geographic and earth/space/environmental visualization, information sciences, software and financial visualization, and applications in the humanities, social sciences, and education
General Topics: visual design, cognition, perception, and aesthetics, uncertainty, design studies, novel algorithms and mathematics, presentation/production/ dissemination, collaborative and distributed visualization, mobile/ubiquitous visualization, visualization systems, problem-solving environments, virtual environments, sonification and haptics, visualization for the masses
Please see the Committees page.