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Ep. 231: J. Doyne Farmer on Making Sense of Chaos

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Conteúdo fornecido por Bilal Hafeez. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Bilal Hafeez ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

J. Doyne Farmer is Director of the Complexity Economics Programme and Professor of Complex Systems Science at the University of Oxford. He is also External Professor at the Santa Fe Institute and Chief Scientist at Macrocosm. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His book, Making Sense of Chaos: A Better Economics for a Better World, was published in 2024. During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s, he built the first wearable digital computer, which was successfully used to predict the game of roulette. This podcast covers what chaos theory is, what complexity science is, how economists model the economy, and much more.

Follow us here for more amazing insights:

https://macrohive.com/home-prime/

https://twitter.com/Macro_Hive

https://www.linkedin.com/company/macro-hive

  continue reading

259 episódios

Artwork
iconCompartilhar
 
Manage episode 437002355 series 2640191
Conteúdo fornecido por Bilal Hafeez. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Bilal Hafeez ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

J. Doyne Farmer is Director of the Complexity Economics Programme and Professor of Complex Systems Science at the University of Oxford. He is also External Professor at the Santa Fe Institute and Chief Scientist at Macrocosm. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His book, Making Sense of Chaos: A Better Economics for a Better World, was published in 2024. During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s, he built the first wearable digital computer, which was successfully used to predict the game of roulette. This podcast covers what chaos theory is, what complexity science is, how economists model the economy, and much more.

Follow us here for more amazing insights:

https://macrohive.com/home-prime/

https://twitter.com/Macro_Hive

https://www.linkedin.com/company/macro-hive

  continue reading

259 episódios

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