Dear colleagues,

At the upcoming ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation (PADS) there will be a special track on

"Visualization for Communicating and Understanding Simulation Studies and Results".

(see https://sigsim.acm.org/conf/pads/2025/blog/cfp/)

This track encourages submissions that focus on visualization and visual analytics methods and tools for enhancing the communication and interpretation of simulation results.

The conference invites submissions of both full papers (at most 10 pages, not including references) as well as short papers (at most 4 pages, not including references).

Papers can be submitted to two calls. Papers submitted to the first call may receive reviews that include suggestions for improvements, areas of concern, and additional points that can be addressed or incorporated. Papers can also be directly submitted to the second call. A regular review process will occur in this case, with an accept/reject outcome.

*) Submission Deadline, First Call: November 1, 2024
*) First Notification of Acceptance: December 16, 2024
*) Submission Deadline, Second Call: January 24, 2025
*) Second Notification of Acceptance: March 24, 2025

Irrespective of the call they were submitted to, papers selected by the program committee will be included in a special issue of ACM Transactions on Modeling and Computer Simulation (TOMACS).

For more information, please refer to the conference website:
https://sigsim.acm.org/conf/pads/2025/

The special track is designed to attract an interdisciplinary audience, including visualization researchers and practitioners who are keen on developing innovative techniques for interpreting and communicating complex data, as well as members of the simulation community interested in leveraging advanced visualization methods to enhance the analysis and presentation of their simulation studies. The goal is to foster collaboration and knowledge exchange between these communities to drive forward both fields.

Topics of interest include, but are not limited to:

*) Visualization for Decision Support: Design and development of visual tools that enhance decision-making processes by effectively conveying simulation outcomes

*) Comparative Visualization: Techniques for comparing multiple simulations or datasets visually to identify patterns, differences, and trends

*) Uncertainty Visualization: Visual methods for representing and communicating uncertainties inherent in simulation studies

*) Scalability in Visualization: Approaches for handling large-scale simulation data in a visually effective manner

*) Storytelling and Narrative Visualization: Methods and approaches for creating dynamic narratives around simulation studies

*) Immersive Analytics: Solutions that allow users to interact with and explore simulation data in immersive environments

*) User-Centered Design: Creating visualization tools tailored to the needs of diverse stakeholders, from modelers to decision-makers

*) Automated Visualization Pipelines: Methodologies for automating the generation of insightful visualizations from simulation results

*) Machine Learning Integration: Visualization methods that incorporate machine learning to automatically generate, optimize, or refine visual representations of simulation data

// Prof. Dr. Stefan Bruckner
// Chair of Visual Analytics
// Institute for Visual and Analytic Computing
// University of Rostock

// E-Mail: stefan.bruckner@uni-rostock.de
// Phone: +49 381 498 7490 / +49 381 498 7481 (secr.)