Predicting future of the Planet with J. Doyne Farmer I Reason with Science | Complexity Economics

Predicting future of the Planet with J. Doyne Farmer I Reason with Science | Complexity Economics

From Reason with Science by Jitender Kumar

October 14, 2025 · 1h 10m · Episode 84

About this episode

The episode discusses how complexity economics can help create a sustainable future with insights from J. Doyne Farmer.

Can economics help us create a sustainable future? Our guest is Doyne Farmer, Director of the Complexity Economics Programme at Oxford University. Trained as a physicist, he’s spent his career studying chaos, complex systems, and prediction, and now applies those ideas to economics, sustainability, and climate change. In this episode, we’ll talk about why traditional economic models often fail, how complexity economics gives us new tools to understand markets, and what agent-based models and heterogeneity can teach us about the real economy. We’ll look at chaos, business cycles, and equilibrium, and draw surprising parallels between biology, supply chains, and innovation. Guest info: Website: https://www.doynefarmer.com/ Bluesky: https://bsky.app/profile/doynefarmer.bsky.social Episode links: Website: https://reasonwithscience.com/predicting-future-of-the-planet-with-j-doyne-farmer Youtube: https://youtu.be/i7T-1m7s2rY Spotify: https://open.spotify.com/episode/0Mmqc9hETV1yrgxgvv8rHk?si=MxqQzImoR2W0k6W7AvM9pg Apple podcast: https://podcasts.apple.com/us/podcast/predicting-future-of-the-planet-with-j-doyne-farmer/id1641776894?i=1000731754638 YouTube music…

People in this episode

Host: Jitender Kumar

Guest: J. Doyne Farmer

Topics covered

  • sustainability
  • complexity economics
  • climate change
  • chaos theory
  • economic models

Keywords

  • sustainability
  • complex systems
  • economic prediction
  • chaos
  • agent-based models

Mentioned in this episode

Organizations: Oxford University

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