Exploring Chaos Theory and Complexity Economics

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The chapter delves into the guest's journey into complexity economics, starting with a unique approach to beating Roulette using physics. It recounts the development of a wearable computer to predict ball motion, leading to successfully beating the game but not capitalizing on it due to various reasons. The narrative provides a fascinating insight into the early days of exploring chaos theory and unpredictability.

J. Doyne Farmer is Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor in the Mathematical Institute at the University of Oxford and an External Professor at the Santa Fe Institute.

In this episode, Doyne discusses his journey from chaos theory to complexity economics. He shares his experience developing agent-based models for the economy and talks about the importance of multidisciplinary work and applying complexity science principles to economics and climate change.

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