IMSI invites researchers to examine tools that can improve models, spark collaboration
Mathematical models are important tools for understanding the behavior of complex systems. For example, in order to predict the growing consequences of climate change, researchers build computational models that can suggest the rise in sea levels in 100 years or project the intensity of droughts and storms. But because the climate is such a complex system—spanning geographical and time scales—trying to create such models can exceed the limits of computational power and make reliable predictions difficult.
