[Ieee_vis] [CFP] VisMeetsAI Workshop, Co-located with IEEE PacificVis 2027

[Junpeng Wang]

Dear Colleagues,
We invite submissions to the Visualization Meets AI Workshop, co-located
with IEEE PacificVis 2027. We are pleased to announce that the workshop is
once again partnering with the *Information Visualization* journal (
https://journals.sagepub.com/page/ivi/collections), with all accepted
papers to be published in a special issue.


===WORKSHOP===
Visualization Meets AI Workshop, colocated with IEEE PacificVis 2027
https://vismeetsai.github.io/

Data visualization requires a thoughtful design process that heavily relies
on both domain knowledge and familiarity with visualization techniques.
Given the vast design space and inherent complexity, even experts often
invest substantial effort to create effective visualizations for
exploration or communication. With the rapid advancement of artificial
intelligence (AI)—particularly the rise of powerful foundation models such
as large language models (LLMs), vision-language models (VLMs), and
multimodal AI systems—the field of visualization is undergoing a
significant transformation. These cutting-edge models present new
opportunities to automate and augment the visualization process.
Concurrently, visualization plays an increasingly vital role in the
development and deployment of advanced AI models. As these models grow in
complexity and scale, the need for effective visual interfaces and
techniques becomes more pressing—to interpret model behavior, debug
outputs, and foster transparency, accountability, and human-AI
collaboration.

This workshop aims to explore this dynamic and rapidly evolving area by
fostering communication between the visualization and AI communities.
Attendees will engage with the latest research at the intersection of
AI-enhanced visualization (AI4VIS) and visualization-enhanced AI (VIS4AI),
with a particular focus on how cutting-edge models—such as LLMs, VLMs, and
beyond—are reshaping the landscape.


===CALL FOR PAPERS===
We welcome submissions in the form of full papers. All accepted papers will
be published in a special issue of the* Information Visualization* journal.
Please check the detailed submission instructions in our website:
https://vismeetsai.github.io/


===IMPORTANT DATES===
- Paper due: *December 18, 2026*
- 1st cycle notification: February 1, 2027
- Revision due: February 15, 2027
- 2nd cycle notification: February 22, 2027
- Editable source files due: March 1, 2027
- Final notification from the journal’s EIC: March 8, 2027
- Workshop: April 19, 2027

All deadlines are due at 11:59pm Anywhere on Earth (AoE).


Thanks,
Takanori Fujiwara and Junpeng Wang
Visualization Meets AI Workshop Co-Chairs
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