#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 If you have any feedback, you can get a free book for filling out our new feedback form. You can also get in touch through our website or on Twitter. Consider leaving us a review wherever you're listening to this — it's the best free way to support the show. Thanks for listening!