Reverse Engineering Complexity - Dynamics, Architecture, and Robustness in Complex Systems

Explore complex systems research in this 57-minute colloquium from the Santa Fe Institute. Delve into robustness, tradeoffs, and feedback in highly connected systems through computational multiscale models. Discover how mechanistic models and data-driven techniques are combined to address multidisciplinary challenges, including earthquake fault dynamics, wildfire propagation, disaster response, biomaterials, infectious diseases, microbiome studies, network neuroscience, and group decision-making under stress. Gain insights into the approach to complex systems research, focusing on dynamics, architecture, robustness tradeoffs, and adaptation. Examine recent and historical examples, with emphasis on earthquakes, forest fires, adaptive immunity, and bone structures.

Reverse Engineering Complexity