Topics
This workshop will focus on progressive visualization and visual analytics. We encourage late-breaking work, research in progress, and position papers, for example, topics of interest to the workshop include (but are not limited to):
- Progressive Techniques for Information and Scientific Visualization
- Progressive Visual Analytics Systems
- Progressive Algorithms and Data Structures
- Progressive Databases and Data Management Systems
- Progressive Machine Learning
- Progressive Artificial Intelligence
- Progressive Data Science
- User Interfaces for Progressive Systems
- Languages and Toolkits for Progressive Systems
- Uncertainty in Progressive Systems
- Infrastructure for Progressive Systems
- Human Factors in Progressive Data Analysis
- Applications of Progressive Visual Data Analysis
- Theories for Progressive Visual Data Analysis
- Evaluation of Progressive Systems
Submission Guidelines and Format
Authors are invited to submit papers between two and four pages in length, excluding references, and using the standard IEEE conference paper template.
- https://tc.computer.org/vgtc/publications/conference/
- https://github.com/ieeevgtc/vgtc_conference_latex
To submit a paper, create an account and submit the paper to the submission system at: https://new.precisionconference.com/
Proceedings
PDAV will not have proceedings. Accepted papers will be published on the workshop website if the authors agree. Authors are free to publish their article as a preprint, e.g., arXiv.
Accepted papers will have an oral presentation at the workshop, and also a poster slot at the IEEE VIS poster session for additional exposure and interesting discussions
Important Dates
| Submission Deadline: | 1st July 2024 | ||||
| Notification of Acceptance: | 19th July 2024 | ||||
| Camera Ready Paper and Poster: | 26th August 2024 | ||||
| All deadlines are at 23:59 (11:59 pm) AoE (UTC-12). |
Code of Conduct
Organizers
- Alex Ulmer, Fraunhofer IGD
- Jaemin Jo, Sungkyunkwan University
- Michael Sedlmair, University of Stuttgart
- Jean-Daniel Fekete, Inria & Université Paris-Saclay
Contact
For questions, please email the workshop chairs directly: pdav-chairs@ieeevis.org