The man reinventing economics with chaos theory and complexity science

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Traditional economics makes ludicrous assumptions and poor predictions. Now an alternative approach using big data and psychological insights is proving far more accurate.

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 his new book, Making Sense of Chaos, he unpicks why standard economic approaches often fail – and presents a radical alternative. Complexity economics, as it is called, treats economies as systems akin to natural ecosystems or Earth’s climate. Giant computer simulations based on these ideas offer a better representation of how billions of people interact within the global economy.

Read more in the NewScientist here.

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