Navigating Complexity in Economics

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The chapter explores the speaker's new book on complexity economics, touching on predictive successes and challenges faced in mainstream acceptance. It emphasizes the importance of interdisciplinary collaboration and showcases the practical application of agent-based modeling in economic analysis, using the example of predicting COVID's impact on the UK economy.

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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