EuroVA 2023 (eurova.org/eurova-2023) is the fourteenth international EuroVis Workshop on Visual Analytics.
It will take place on Monday, June 12, 2023, in Leipzig, Germany, and is co-located with Eurovis 2023, the Eurographics Conference on Visualization (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 2023 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 the EG Digital Library. EuroVA is also indexed in dblp and Scopus. Following the workshop, selected authors will be invited to submit an extended version of their paper to a special issue of a journal (Computer & Graphics or similar tier journal). Further details will be announced soon.
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 (VA) including, but not limited to:
- Immersive analytics
- Human-Centered VA and Human Factors
- Decision making through VA
- Explainable AI through VA
- Scalable VA
- Progressive Visual Analytics
- VA for machine learning & machine learning for VA
- Uncertainty-aware VA
- Visual Data Science
- Interaction techniques
- Novel data representations
- Analytical processes and provenance
- Infrastructures, systems, frameworks, and architectures
- Evaluation and user studies
- Methodologic and theoretical foundations
- Applications and problem-driven work, including but not limited to sports, medicine, biology, finance, security, telecommunication, travel, humanities …
- Submission: March 3, 2023
- Notification: April 15, 2023
- Camera-ready: May 9, 2023
- Workshop: June 12, 2023
All submission deadlines are at 23:59 GMT on the date indicated.
*NEW* EuroVA listened to the feedback received from authors during the 2022 edition, and we are happy to announce that this year papers will be up to 5 pages in length + 1 extra page for references (maximum). Papers must be prepared using the EuroVA LaTeX template, which can be downloaded here: download link
Papers are to be submitted via the new PCS. (Not open yet)
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.
- Marco Angelini, Sapienza University of Rome, Italy
- Mennatallah El-Assady, ETH Zurich, Switzerland
- Alex Ulmer, Fraunhofer IGD, Germany
- Daniel Keim, University of Konstanz Germany
- Jörn Kohlhammer, Fraunhofer IGD, Germany
- Jürgen Bernard, University of Zurich, Switzerland
- Katerina Vrotsou, Linköping University, Sweden
International Program Committee