Applications: Domains-specific use cases for uncertainty visualization and analysis of scientific or information data with domains including but not limited to climate science, energy science, material science, quantum computing, and machine learning. Techniques: Techniques to quantify and convey uncertainty in 2D/3D/high-dimensional (scientific or information) data. These cover a broad range of concepts, including but not limited to statistics, machine learning, computing, rendering, perception, and cognition that are fundamental to uncertainty Software and tools: Uncertainty visualization software or tools to convey the uncertainty in general or application-specific scientific or information data. Decision frameworks: Methods, workflows, and application use cases for robust decision-making under uncertainty.

IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks is technically sponsored by IEEE.