Uncharted Research
Challenges in Visualizing Complex Causality Characteristics

Causality is important for providing explanations when using computational models to understand complex systems structure and behavior, and what happens when change occurs in the system. There are many properties of causality that need to be considered and made visible, but current causality visualization methods are limited in expressions, scale, dimensionality and do not provide sufficient support for user tasks such as “what-if” and “how-to” questions, or in supporting groups considering multiple scenarios.