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EuroVA 2016 : EuroVis Workshop on Visual Analytics | |||||||||||||
Link: http://www.eurova.org/ | |||||||||||||
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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. IMPORTANT DATES Short Paper submission deadline: Friday 19th February, 2016 Notification of acceptance: April 10th, 2016 EuroVA workshop: June 6-7th, 2016 SUBMISSION GUIDELINES 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. WORKSHOP CHAIRS Natalia Andrienko – Fraunhofer Institute IAIS, Germany / City University, UK Michael Sedlmair – University of Vienna, Austria PROGRAM COMMITTEE 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 |
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