Computational modeling of complex systems is central to contemporary studies of the natural sciences. Such systems are everywhere around us, from flocking birds and forest fires to whole ecosystems and human societies. They shape our world and our experiences. How are these systems alike? What are the telltale signs of complexity? And how can we study these systems computationally?

This online event offers a unique workshop experience for students, educators and anyone keen on exploring the intersection of natural systems and computational modeling. This session focuses on the foundational elements of complex systems within the realms of ecology and environmental science, making these advanced concepts accessible and engaging through a blend of theoretical and computational explorations.
  • Key features and properties of complex ecological and environmental systems
  • Computational examples of real-world complex systems, including models of forest fires, ecological population dynamics, human immune system response to vaccination and more
  • Techniques for computational modeling of complex systems in Wolfram Language
Phileas Dazeley-Gaist
Junior Academic Content Developer, Wolfram Research
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