EuroVA 2021 is the twelfth international EuroVis workshop on Visual Analytics.
It will take place on Monday, June 14, 2021 in the online world around Zurich, Switzerland and is co-located with Eurovis 2021 the Eurographics Conference on Visualization (https://www.eurovis.org/).
Visual Analytics is a problem-solving and sense-making approach that integrates analytical computations, visual representations, and interaction. It includes the analysis of complex (massive, heterogeneous, dynamic, uncertain, …) data and information for gaining understanding, building knowledge, and inferring insight. Visual Analytics aims at a synergistic collaboration of humans and computers mediated through interactive visual interfaces. As such, Visual Analytics is an interdisciplinary field of research, including aspects of visualization, human-computer interaction, data science, statistics and mathematics, data management and knowledge representation, data analysis and machine learning, cognitive and perceptual sciences.
EuroVA 2021 is the premier workshop in Europe to present and discuss fresh ideas on new methods and theories, novel applications, designs, and studies on the use of Visual Analytics methods and systems. The workshop will accept a wide range of contributions within the broad area of Visual Analytics, including novel techniques, systems, applications, evaluation studies and methods, and theoretical foundations, as well as fresh viewpoints on future challenges and critical reflections.
EuroVA proceedings will be published in EG Digital Library. From 2020 EuroVA is also included in Scopus. Following the workshop, selected papers will be invited to submit an extended version of their paper to a special issue of a journal.
Call for Submissions
EuroVA seeks to attract innovative, fresh and creative ideas with a high potential of becoming significant contributions to the Visual Analytics community.
We welcome contributions within the broad area of Visual Analytics, including:
- research papers presenting novel techniques or systems, evaluation studies and methods, and theoretical foundations,
- application papers that describe success stories of Visual Analytics in practice, as well as fresh
- position papers expressing novel and potentially controversial viewpoints on Visual Analytics.
The workshop covers topics in the area of Visual Analytics including, but not limited to:
- Immersive analytics
- User-centered aspects in Visual Analytics
- Decision making through Visual Analytics
- Explainable AI through Visual Analytics
- Scalable Visual Analytics
- Visual Analytics for machine learning & machine learning for Visual Analytics
- Uncertainty-aware Visual Analytics
- Visual Analytics in Data Science
- Interaction techniques
- Novel data representations
- Visual analysis of analytical processes and provenance
- Infrastructures, systems, frameworks, and architectures
- Evaluation and user studies
- Methodologic and theoretical foundations of Visual Analytics
- Visual Analytics applications, including but not limited to sports, medicine, biology, finance, security, telecommunication, travel, humanities …
Of special interest this year are papers relating to:
- Visual Analytics for Social Good
- Visual Analytics of sets
- Human factors in decision making through Visual Analytics
- Mixed-initiative approaches and learning from user interaction
- Submission: February 26, 2021
- Notification: April 12, 2021
- Camera-ready: May 10, 2021
- Workshop: June 14, 2021
All submission deadlines are at 23:59 GMT on the date indicated.
Papers, 4 pages in length + 1 extra page for references (maximum) must be prepared using the EuroVA LaTeX template, which can be downloaded here: download link
Papers are to be submitted via the new PCS. (Link will be available soon)
At least one author of an accepted paper must register and participate in the workshop to present the accepted work.
Publication and Special Issue Papers
Following the workshop, the authors of selected papers will be invited to submit an extended version of their paper to a special issue of a journal. Further details will be announced soon.
- Katerina Vrotsou, Linköping University, Sweden
- Jürgen Bernard, University of Zurich, Switzerland
- Michael Behrisch, Utrecht University, Netherlands
- Daniel Keim, University of Konstanz Germany
- Jörn Kohlhammer, Fraunhofer IGD, Germany