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Member's Forum Top Tech Voices Podcast S2 E6: Smart Cities & Urban Tech
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Top Tech Voices Podcast S2 E6: Smart Cities & Urban Tech

JoRatcliffe
JoRatcliffe 2 months ago

It is time for the final episode of Top Tech Voices Season 2 and we are ending on a high with engineer and architect Carlo Ratti as the guest.

Tune in for an episode covering:

  • Why Carlo finds waste management fascinating
  • How technology is making Venice more resilient to climate change
  • Creating cyber-physical systems where real-time data triggers physical responses across a city

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Comments should include constructive discussion on the episode's topics (for example, making cities more adaptable with technology, designing cities with multiple generations of people in mind, future-proofing against climate change), or useful feedback that helps improve future podcasts.

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  • kmikemoo
    kmikemoo 2 months ago

    Professor Ratti is absolutely a "big picture" guy.  His view of a city's purpose and function is definitely more of a 30,000 foot view than how most of us see them.  I also think he's a bit of a data addict.

    I liked his response to the data privacy question.  His response was that the data he was talking about was on such a huge scale that it inherently created anonymity.  I would agree.  I also liked his approach on how to mitigate that privacy concern - just put all the data out there.  The folks can focus on the information more than the method.  I think he used the term "opacity" a few times, but not in the typical way.  I may not have heard him correctly, but I liked the idea.  You can see the light but not the minute details of the source.  I thought it fit.  He also kept mentioning "flows".  Thinking of traffic in a large city, I think it's an appropriate term.

    I really liked it when he stated that AI is not new.  And he is 100% correct.  He clearly sees it as a tool for processing mountains of data but also understands its limitations.

    I didn't come away with any ideas or concepts that were personally useful - but it was pretty wild to listen to a guy who's view of things is massive.  "Big picture" doesn't seem to capture the scale of which he thinks.

    EDIT:  JoRatcliffe I watch at home on a desktop - in the evening where I can give the entire episode my undivided attention.  Sometimes I even take notes.

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  • kmikemoo
    kmikemoo 2 months ago

    Professor Ratti is absolutely a "big picture" guy.  His view of a city's purpose and function is definitely more of a 30,000 foot view than how most of us see them.  I also think he's a bit of a data addict.

    I liked his response to the data privacy question.  His response was that the data he was talking about was on such a huge scale that it inherently created anonymity.  I would agree.  I also liked his approach on how to mitigate that privacy concern - just put all the data out there.  The folks can focus on the information more than the method.  I think he used the term "opacity" a few times, but not in the typical way.  I may not have heard him correctly, but I liked the idea.  You can see the light but not the minute details of the source.  I thought it fit.  He also kept mentioning "flows".  Thinking of traffic in a large city, I think it's an appropriate term.

    I really liked it when he stated that AI is not new.  And he is 100% correct.  He clearly sees it as a tool for processing mountains of data but also understands its limitations.

    I didn't come away with any ideas or concepts that were personally useful - but it was pretty wild to listen to a guy who's view of things is massive.  "Big picture" doesn't seem to capture the scale of which he thinks.

    EDIT:  JoRatcliffe I watch at home on a desktop - in the evening where I can give the entire episode my undivided attention.  Sometimes I even take notes.

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  • Qbit
    Qbit 2 months ago in reply to kmikemoo

    @kmikemoo Exactly! I really liked the segment around 21:30 where they discussed 'Technology vs. Community.' If a smart city is just a sterile, top-down surveillance matrix built by big corporations, it loses its soul. The real magic happens when open data empowers independent makers and community developers to build hyper-localized hardware tools—like a custom neighborhood air quality monitor or transit tracker—tailored directly to their own streets. It keeps the community at the center of the tech.

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