J. Doyne Farmer is director of the Complexity Economics program 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. He is a renowned physicist and complex systems scientist with a career spanning more than four decades. As a pioneer in chaos theory and complexity science, he has made significant contributions to understanding dynamic systems and their applications in various fields, including economics and financial markets.
In this conversation with Dave Young, the Global Leader of the BCG Henderson Institute’s Center for Climate & Sustainability, Doyne discusses his journey from astrophysics to pioneering work in chaos theory and complex systems. He explains how modern computational power and big data are revolutionizing economic modeling, sharing insights from his team’s accurate prediction of COVID-19’s economic impact in the U.K. Farmer argues for a shift from traditional macroeconomic models to more dynamic, data-driven approaches that can capture the intricacies of our complex economic systems.