EuroVA 2016 : EuroVis Workshop on Visual Analytics
Call For Papers
EuroVA 2016 is the seventh international EuroVis workshop on Visual Analytics.
It will take place June 6-7, 2016 in Groningen, the Netherlands.
Visual Analytics has been defined as the science of analytical reasoning facilitated by interactive visual interfaces. Analytical reasoning includes analysis of complex (massive, dynamic, ambiguous, conflicting, …) data and information for gaining understanding, building knowledge, solving complex problems, and making right decisions. Visual Analytics deals with problems that cannot (yet) be solved algorithmically and therefore essentially require human thinking supported by the power of computers. Visual Analytics aims at effective division of labour between humans and computers and their synergistic collaboration, in which each side can efficiently utilize its unique capability.
Thus, Visual Analytics can be understood as the science of human-computer data analysis, knowledge building, and problem solving. It is an interdisciplinary science integrating techniques from visualization and computer graphics, statistics and mathematics, data management and knowledge representation, data analysis and machine learning, cognitive and perceptual sciences, and more.
EuroVA 2016 is the best place to present and discuss ideas of new methods and theories, interesting applications, designs, and studies of the use of visual analytics methods and systems. The workshop will accept a range of paper types, including technique, system, application, evaluation and theory papers in the area of Visual Analytics.
TOPICS of interest include but are not limited to:
Combining interactive visualization with computational techniques from statistics, data mining, machine learning or similar.
Visual representations and interactive techniques amplifying human analytical reasoning.
Visual analytics support to decision making.
Modelling of uncertainty and supporting uncertainty-aware analytical reasoning.
Visual analysis procedures, processes, and workflows.
Visual data science and predictive visual analytics.
Visualization of models derived by visual analytics methods and procedures.
Visual explorations and analysis of (e.g., simulation) models and their parameter spaces
Visual analytics data provenance, and management of analytic processes.
Data/information management and representation for visual analytics methods.
Theoretical foundations of visual analytics.
Cognitive and perceptual aspects of visual analytics.
Theories and models of analytical reasoning, human analytic discourse, sensemaking.
Collaborative visual analytics.
Infrastructures and architectures for visual analytics systems and services.
Visual analytics applications.
Evaluation of visual analytics techniques and procedures.
Short Paper submission deadline: Friday 19th February, 2016
Notification of acceptance: April 10th, 2016
EuroVA workshop: June 6-7th, 2016
We invite short papers, 4 pages in length + 1 extra page for references (maximum). Papers must be prepared using the EuroVis formatting guidelines (size of fonts, illustrations, etc.).
The LaTex template for EuroVA2016 is here: EuroVA LaTex template.
Formatting guidelines can be found on the EuroVis website: EuroVis Author Guidelines.
Submission site: https://precisionconference.com/~eurova16.
Copyright form: ELF-EG-EuroVA-2016.
Authors of accepted short papers will be asked to give an oral presentation. At least one author of an accepted paper must register and participate in the workshop.
The EuroVA 2016 Conference Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library.
Natalia Andrienko – Fraunhofer Institute IAIS, Germany / City University, UK
Michael Sedlmair – University of Vienna, Austria
Bilal Alsallakh, Bosch Research
Anushka Anand, Tableau Research
Marco Angelini, Sapienza University of Rome
Alessio Bertone, Dresden University of Technology
Rita Borgo, Swansea University
Nadia Boukhelifa, INRIA
Paolo Buono, University of Bary
Michael Correll, University of Washington
Aritra Dasgupta, Polytechnic Institute of New York University
Wenwen Dou, UNC Charlotte
Geoffrey Ellis, University of Konstanz
Alex Endert, Georgia Tech
Mike Gleicher, University of Wisconsin
Lane Harrison, University of North Carolina at Charlotte
Christoph Heinzl, University of Applied Sciences
Petra Isenberg, INRIA
Laura McNamara, Sandia National Laboratories
Margit Pohl, Vienna University of Technology
Alexander Rind, St. Poelten University of Applied Sciences
Panagiotis Ritsos, University of Chester
Paul Rosenthal, Chemnitz University of Technology
Roy Ruddle, University of Leeds
Giuseppe Santucci, Sapienza, University of Rome
Alexander Savelyev, Pennsylvania State University
Tobias Schreck, TU Graz
Aidan Slingsby, City University
Hendrik Strobelt, Harvard SEAS
Christian Tominski, University of Rostock
Thomas Torsney-Weir, University of Vienna
Melanie Tory, Tableau Research
Cagatay Turkay, City University
Huub van de Wetering, TU Eindhoven
Jarke van Wijk, Eindhoven University of Technology
Tatiana von Landesberger, Technische Universität Darmstadt
Katerina Vrotsou, Linköping University
Helen Wright, University of Hull