ABOUT THIS EPISODE
The fourth episode of Planning Ideas that Matter, a podcast built upon faculty debates held in the Department of Urban Studies and Planning at the Massachusetts Institute of Technology. The Fall 2017 debates fall under the broad heading - Urban Science: Regression to Technocracy or Pathway to Progressive Planning?
Episodes four through six focus on how artificial intelligence and machine learning will impact cities and urban labor markets.
Episodes four through six focus on how artificial intelligence and machine learning will impact cities and urban labor markets.
English
United States
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OTHER EPISODES IN THIS PODCAST
Episode 9 - Planning Ideas that Matter: Urban Science : Justin Steil by dusp@MIT
Episode 8 - Planning Ideas that Matter: Urban Science : Ceasar McDowell by dusp@MIT
Episode 7 - Planning Ideas that Matter: Urban Science : Bish Sanyal by dusp@MIT
The sixth episode of Planning Ideas that Matter, featuring guest Albert Saiz, Director of the Urban Economics Lab and a faculty member at the Department of Urban Studies and Planning. Saiz explores the relationship between real estate developers and urban planners - and what the introduction of urb…
Disclaimer: The podcast and artwork embedded on this page are from dusp@MIT, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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