IEEE Workshop on
Uncertainty Visualization: How to Make it Interpretable, Integrable, and Accessible?
in conjunction with IEEE VIS 2026,
Boston, USA
Papers: We welcome contributions as short and regular papers in the IEEE VGTC format (up to 4 pages of content and 1 page of references for short papers, and up to 9 pages of content and 2 pages of references for full papers). All submissions should be anonymized. Paper submissions will be peer-reviewed by an international program committee, including experts in uncertainty visualization, topological methods for scientific data, information visualization, visual analytics, machine learning, and artificial intelligence. Accepted papers will be published in the IEEE Xplore Digital Library.
Demos: We invite demo submissions that showcase research prototypes and tools supporting or integrating uncertainty visualization within computational workflows. Submissions must include:
The demo video should clearly articulate the motivation, key features, and contributions of the proposed system, and include a walkthrough demonstrating the tool or workflow in action. The video must begin with a title slide that introduces the demo and lists all authors along with their institutional affiliations. All demo submissions will be reviewed by the workshop committee.
Authors of accepted demos will be invited to give live, on-site demonstrations of their tools, software, or workflows related to uncertainty. In addition, accepted authors are required to submit a pre-recorded version of their demo video as a backup, which may be used in the event of on-site technical issues or if the authors prefer a video-based presentation. Accepted demo authors will also be invited to present a poster at the main VIS poster session to encourage further discussion and engagement. Please note that demo submissions will not be published in the IEEE Xplore Digital Library. However, authors are encouraged to submit a related short or full paper for consideration for publication in IEEE Xplore.