Co-Located Events and Workshops

Here is the current list of co-located events and workshops. Note that workshops generally run for either a half day (morning or afternoon) or a full day (morning and afternoon).

VisGames 2, the EuroVis Workshop on Visualization Play, Games, and Activities (full day). This is the 2nd Workshop on Visualization Play, Games, and Activities, following the great success of the 1st VisGames workshop at EuroVis 2025. Our workshop’s mission is to advance data visualization games and playful activities as dynamic tools for communication, co-creation, and collaborative problem-solving in interdisciplinary environments and contexts. The 2nd edition of VisGames is a full-day event, featuring an opening and fast-forward session, two World Café-style sessions to play and engage with visualization games, and our new “VisGames” challenge for promoting the co-design of visualization games. See https://visgames2025.netlify.app/ for more.

EnvirVis, The Eurovis Workshop on Visualization of Geo-scientific, Environmental, Atmospheric, or Climate data (half day). Research in environmental sciences is becoming more and more important as we face increasing problems concerning climate change, water scarcity, pollution of the environment or changes in biodiversity. The amount and heterogeneity of data and information are key challenges for visualization, simulation and the subsequent understanding of research results. Besides applying visualization techniques to geoscientific data, advances are also made with the help of high-performance computing, virtual reality, artificial intelligence as well as data science. The workshop invites contributions with a broad application area in environmental research from both scientific visualization and environmental sciences to establish a forum for interdisciplinary discussions. Please visit https://www.informatik.uni-leipzig.de/bsv/envirvis/ for more information.

VisGap ’26, The Gap between Visualization Research and Visualization Software (half day). Over the years, numerous visualization methods and tools have been developed, but most remain prototypes and rarely reach a state of reliable usability for target audiences, such as domain scientists. The VisGap Symposium aims to highlight this gap between research and practical applicability, examine the obstacles, and propose solutions as a community. VisGap aims at gathering experts from all over the visualization community in order to advance the way our field works with software, sustains software, and values the effort our members put into developing said software. The scope of VisGap also includes reproducibility and replicability. Both are cornerstones of the scientific method and essential for building trust and increasing their acceptance, ultimately fostering adoption in the wild. Please visit https://visgap.gitlab.io/ for additional information.

VIPRA, The Visual Process Analytics Workshop, (half day). Process Mining is a data-driven discipline that focuses on extracting valuable insights and knowledge from the vast amount of event data generated within organizations. It involves the discovery, analysis, and improvement of business processes by leveraging techniques from data science, machine learning, and data analytics. Visual analytics is an interdisciplinary field that combines data visualization, analytical techniques, and interactive interfaces to help people make sense of complex and often large datasets. We believe that process mining and visual analytics can mutually benefit each other. Bridging this gap and fostering collaboration between the two fields will not only lead to more informed, efficient, and data-driven improvements in various domains but also advance the research and innovation in both process mining and visual analytics, ultimately contributing to a more holistic and integrated approach to understanding and optimizing complex processes. Visit https://vipra-workshop.github.io/homepage/ for more.

GDxDR, Bridging Graph Drawing and Dimensionality Reduction (half day). Graph Drawing (GD) and Dimensionality Reduction (DR) share many methodological, theoretical, and practical challenges. Both aim to project complex, high-dimensional structures into interpretable low-dimensional representations, facing issues of scalability, ambiguity, and interpretability. Yet, despite these similarities, the two communities have evolved largely in parallel with limited exchange of ideas and evaluation practices. This workshop seeks to bridge GD and DR by creating a discussion on how methods, concepts, and lessons from one domain can inspire advances in the other. Through presentations, interactive discussions, and collaborative activities, participants will identify common challenges, explore methodological synergies, and develop a roadmap for future research and collaboration within the visualization community. See
https://sites.google.com/view/gdxdr26/home for more details.

MLVis, Machine Learning Methods in Visualisation for Big Data (half day). This workshop solicits short papers on machine learning methods in visualization from both the machine learning and visualization communities, addressing how the two technologies can be used together to provide greater insight to end users. Please see https://events.tuni.fi/mlvis/ for more details.

IEEE CG&A, IEEE Computer Graphics and Applications (half day), a selection of invited papers, https://www.computer.org/csdl/magazine/cg

If you would like to hold a co-located event or workshop, then please contact the conference chairs and also fill out a Workshops CfP.