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Discover how complexity science and big data are revolutionizing economics to help solve crises from climate change to financial crashes.
Lecture guide · Written by AI from the lecture. For the lecture’s own words, open the Transcript tab.
Baillie Gifford Professor of Complex Systems Science at the Smith School of Enterprise and the Environment, Oxford University; Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School; External Professor at the Santa Fe Institute
Pioneer of chaos theory, dynamical systems, and complexity economics at the Santa Fe Institute and the University of Oxford.
Professor
Economist and complexity theorist renowned for increasing returns, technological lock-in, and the El Farol Bar problem at the Santa Fe Institute.
The principles of complex systems, such as emergent behavior and network effects, offer a powerful lens for analyzing economic phenomena, institutional evolution, and historical trajectories beyond traditional equilibrium models.
The SFI's focus on emergent properties and feedback loops in complex systems provides a framework for understanding how institutional structures, as discussed in 'Why Nations Fail,' lead to divergent economic outcomes.
