

Making Sense of Chaos (with Doyne Farmer)
Jul 9, 2024
Doyne Farmer, a renowned physicist and mathematician at the University of Oxford, joins to explore how complexity theory can reshape economics. They discuss the shortcomings of traditional economic models and how integrating uncertainty can improve policymaking. Farmer emphasizes the role of innovative data collection and machine learning in enhancing economic insights. The conversation also touches on climate change, highlighting how detailed data can drive effective action and promote sustainability, offering a fresh perspective on managing today's complex economic challenges.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
Rethinking Economic Models: Complexity and Predictions
01:55 • 27min
Understanding Economic Data Limitations and Opportunities
29:25 • 4min
Driving Climate Action through Data and Innovation
33:10 • 7min
The Limitations of Traditional Economic Models and Their Impacts
40:16 • 2min
The Impact of Economic Predictions on Market Behavior
42:43 • 2min