Podcasts · Super Data Science: ML & AI Podcast with Jon Krohn
1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne
· 1 h 28 min
Episode 1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne
In Episode #1039, Prof. John Renne (Professor of Real Estate and Urban Planning at Tulane University) joins Jon Krohn to describe what happens when a tenured full professor goes back to school for a master’s in AI. John is a world-leading expert on transit-oriented development who spent decades pushing the limits of Excel and SPSS; learning Python and then vibe coding has let him scale that research by orders of magnitude, from 4,500 American train stations to more than 110,000 worldwide. In this episode, he traces how walkable communities went from academic heresy to the most profitable form of real estate development, explains how computer vision can now put a number on how attractive a street is, describes the undergraduate course he and Jon co-teach at Tulane, and makes the case for AI-led oral exams over AI detectors.
Additional materials: www.superdatascience.com/1039
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In this episode you will learn:
• • (00:04:08) Why a tenured professor went back for a master’s in AI • • (00:25:34) What transit-oriented development actually is • • (00:45:27) Teaching AI to rate a street • • (01:08:29) AI-led oral exams instead of AI detectors
Links in the notes 2
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