#50 – Doyne Farmer on Complexity and Predicting Technological Progress

Professor Doyne Farmer is the Baillie Gifford Professor in Mathematics at Oxford, the Director of the Complexity Economics programme at INET, and an External Professor at the Santa Fe Institute.
In our conversation we discuss:

How Doyne and his friends used physics and hidden computers to beat the roulette wheel in Las Vegas casinos
Advancing economic models to better predict business cycles and knock-on effects from extreme events like Covid-19
Techniques for predicting technological progress and long-run growth, with specific applications to energy technologies and climate change

You can read more about the topics we cover in this episode's write-up: hearthisidea.com/episodes/farmer
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