Exploring the vision of enhancing economic predictions through detailed global modeling, aiming to integrate micro and macro analyses for more accurate results and improved policy decisions.
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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