Full Papers

With this call for full papers, we invite original submission of high-quality papers that will set the standard and stimulate future trends in the field of visualization and visual analytics. Accepted full papers will be published in a special issue of Computer Graphics Forum, the International Journal of the Eurographics Association, after a two-stage peer-reviewing process. All accepted papers will be presented orally at the conference.

We encourage submissions from all areas of visualization and visual analytics.

Suggested paper types and topics include, but are not limited to:

Algorithm / Technique: novel algorithms and workflows, visual encoding methods, and/or interaction techniques for data transformation, analysis, exploration, explanation, or communication. Algorithms and techniques for handling any data types are welcome, including high-dimensional, multivariate, and multimodal data; time-series and streaming data; spatial and geographic data; hierarchical and network data; uncertainty data; text, image, audio, and video data; simulation data; as well as artificial intelligence or machine learning data and models. Techniques may be specialized for specific devices or form-factors (e.g., mobile or wall-scale visualization) and tailored to diverse contexts of use, including collaborative work, immersive and interactive settings, and domain-specific applications.
Application / Design Study: novel use of visualization to address problems in an application domain, including accounts of innovative system design, deployment and impact. We welcome diverse application areas, including the physical , environmental, and earth sciences; health care and life sciences; social sciences; engineering and industry; security and safety; government and public affairs; education, as well as arts, sports, and humanities. We also welcome applications of visualization for enhancing human understanding of ML and AI models in various domains.
Systems: new software frameworks, languages, or tools for visualization; systems for large-scale visualization; integrated graphical systems for visual analysis or interactive machine learning; collaborative and web-scale visualization systems.
Evaluation & Empirical Research: Empirical studies for comparative evaluation of different visualization approaches (e.g., designs, techniques, tools, systems, and workflows); for observing phenomena in visualization processes, stimulating hypothesis formulation, and collecting data to inform computational models and quality metrics; and for understanding the human factors in visualization processes, including perceptual factors (e.g., visual and nonvisual sensory processes, perception, attention, etc.) and cognitive factors (e.g., memory, learning, reasoning, decision-making, problem-solving, knowledge, emotion, etc.). A diverse range of study methods are welcome, including controlled (e.g., typical laboratory experiments), semi-controlled (e.g., typical crowdsourcing studies), and uncontrolled studies (e.g., small group discussions, think aloud exercises, field observation, ethnographic studies, etc.), which may be in the forms of qualitative or quantitative; cross-sectional or longitudinal research.
Theory: mathematical theories and conceptual models of visual encoding, interaction, and/or analysis tasks; implications from theories of perception, cognition, design, and/or aesthetics; methods for automated design or visualization recommendation; and conceptual or design frameworks for integrating visualization with machine learning and artificial intelligence

For a wider range of paper types, please see “Broadening Intellectual Diversity in Visualization Research Papers” by B. Lee et al. (http://cmci.colorado.edu/visualab/papers/19-CGA-ContributionTypes.pdf)

Use of AI: Generative AI tools may not be used to generate scientific content or text. Limited use for grammar correction, language polishing, or rephrasing is permitted, but must be acknowledged in the Acknowledgement Section of the paper with a clear description of purpose and manner of use (e.g., “We used [tool name] solely for grammar correction and language polishing.”).

Submission of Abstract: Submission of an abstract is mandatory by the abstract deadline, with completed papers due on by the full paper deadline. Submissions will not be accepted if an abstract is not submitted by the abstract deadline. Abstract submissions require the title, authors, paper type, abstract, and keywords in the form. The paper title and authors may not be changed after the abstract deadline. The remaining fields (the document, additional material) are submitted by the full paper deadline. Please note that EuroVis accepted full papers are published as a regular-length journal article, so submitting just an abstract is not sufficient. Submitters need to choose keywords and categories appropriate for their paper as this information is used in reviewer selection.

Plan S Compliance: EuroVis publishes all its material in the Eurographics Digital Library, and some material also in cooperation with Wiley Computer Graphics Forum (Full Papers, STAR Reports). The Eurographics Publication Board, Eurovis Steering Committee, and Eurovis Full Paper Chairs are aware of these questions, and state the following:
1. Publishing in the Eurographics Digital Library is Plan-S compliant.
2. Publishing with Wiley Computer Graphics Forum is Plan-S compliant in many cases, due to so-called transformational agreements between Wiley and national funding agencies and/or universities. In case of questions for clarification, please contact plan-S@eurovis.org and we will help to find a solution. We look forward very much to receiving your work for EuroVis.