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Making Sense of Chaos: A Revolution in Economic Theory | J. Doyne Farmer
Manage episode 432560607 series 1382035
In Episode 374 of Hidden Forces, Demetri Kofinas speaks with J. Doyne Farmer. Dr. Farmer is a complex systems scientist and entrepreneur who pioneered many of the theories and applications that we discuss today, including chaos theory, complexity science, artificial life, and wearable computing.
We live in an age of increasing complexity, accelerating technological change, and global connectivity that holds more promise and peril than arguably any time in human history. Successfully navigating these changes will depend immeasurably on the quality of our economic models because, at their heart, all these changes—the changes associated with trends in automation, digitization, demographics, and financial markets—are rooted in the economy and the network of systems that keep us alive.
For the first time, using big data and ever-more-powerful computers, we are now able to apply complexity science to economic activity, building realistic models of the global economy and financial markets that promise to vastly outperform in terms of verisimilitude and predictive power anything that we have seen in human history.
This episode is divided into two parts. The first hour is meant to provide you with a foundational understanding of complexity science and its application to economics. We discuss chaos and volatility and compare the explanatory and predictive power of agent-based simulations to the standard economic model.
The second hour is an exploration of economic frameworks that treat the economy as an ecological network and series of metabolic processes. We also apply the lessons of the first hour to specific economic and financial questions related to investment styles, risk management, technological disruption, and policymaking.
You can subscribe to our premium content and access our premium feed, episode transcripts, and Intelligence Reports at HiddenForces.io/subscribe.
If you want to join in on the conversation and become a member of the Hidden Forces Genius community, which includes Q&A calls with guests, access to special research and analysis, in-person events, and dinners, you can also do that on our subscriber page at HiddenForces.io/subscribe.
If you enjoyed listening to today’s episode of Hidden Forces, you can help support the show by doing the following:
Subscribe on Apple Podcasts | YouTube | Spotify | Stitcher | SoundCloud | CastBox | RSS Feed
Write us a review on Apple Podcasts & Spotify
Subscribe to our mailing list at https://hiddenforces.io/newsletter/
Producer & Host: Demetri Kofinas
Editor & Engineer: Stylianos Nicolaou
Subscribe and Support the Podcast at https://hiddenforces.io
Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod
Follow Demetri on Twitter at @Kofinas
Episode Recorded on 08/02/2024
432 에피소드
Manage episode 432560607 series 1382035
In Episode 374 of Hidden Forces, Demetri Kofinas speaks with J. Doyne Farmer. Dr. Farmer is a complex systems scientist and entrepreneur who pioneered many of the theories and applications that we discuss today, including chaos theory, complexity science, artificial life, and wearable computing.
We live in an age of increasing complexity, accelerating technological change, and global connectivity that holds more promise and peril than arguably any time in human history. Successfully navigating these changes will depend immeasurably on the quality of our economic models because, at their heart, all these changes—the changes associated with trends in automation, digitization, demographics, and financial markets—are rooted in the economy and the network of systems that keep us alive.
For the first time, using big data and ever-more-powerful computers, we are now able to apply complexity science to economic activity, building realistic models of the global economy and financial markets that promise to vastly outperform in terms of verisimilitude and predictive power anything that we have seen in human history.
This episode is divided into two parts. The first hour is meant to provide you with a foundational understanding of complexity science and its application to economics. We discuss chaos and volatility and compare the explanatory and predictive power of agent-based simulations to the standard economic model.
The second hour is an exploration of economic frameworks that treat the economy as an ecological network and series of metabolic processes. We also apply the lessons of the first hour to specific economic and financial questions related to investment styles, risk management, technological disruption, and policymaking.
You can subscribe to our premium content and access our premium feed, episode transcripts, and Intelligence Reports at HiddenForces.io/subscribe.
If you want to join in on the conversation and become a member of the Hidden Forces Genius community, which includes Q&A calls with guests, access to special research and analysis, in-person events, and dinners, you can also do that on our subscriber page at HiddenForces.io/subscribe.
If you enjoyed listening to today’s episode of Hidden Forces, you can help support the show by doing the following:
Subscribe on Apple Podcasts | YouTube | Spotify | Stitcher | SoundCloud | CastBox | RSS Feed
Write us a review on Apple Podcasts & Spotify
Subscribe to our mailing list at https://hiddenforces.io/newsletter/
Producer & Host: Demetri Kofinas
Editor & Engineer: Stylianos Nicolaou
Subscribe and Support the Podcast at https://hiddenforces.io
Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod
Follow Demetri on Twitter at @Kofinas
Episode Recorded on 08/02/2024
432 에피소드
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