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Top Tech Voices Podcast S2 E6: Smart Cities & Urban Tech

JoRatcliffe

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

 Click the banner below to watch the podcast video or listen on your favorite platform.
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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.

Separate to the contest, I am also interested to know how you like to watch Top Tech Voices. Do you listen while you work or do you watch it on your TV? Let me know!

The Community team will select the best 5 comments to each win an Arduino Uno Q 4GB!

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  • Carlo Ratti’s discussion on open-source architecture and treating environments as responsive, living organisms is a masterclass for hardware developers. His point that 'you can only change what you know' is the ultimate argument for deploying localized edge-sensing.

    ​I plan to use the Arduino Uno R4 to build an open-source, edge-computing nodes array for micro-climate and localized air quality tracking—directly mirroring the philosophy behind his 'City Scanner' project. By leveraging the Uno's processing power to handle real-time sensor data loops without relying on heavy external libraries, we can prototype the exact low-cost, decentralized cyber-physical systems needed to make our communities more adaptive. Exceptional interview, Farnell team!

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  • Carlo Ratti’s discussion on open-source architecture and treating environments as responsive, living organisms is a masterclass for hardware developers. His point that 'you can only change what you know' is the ultimate argument for deploying localized edge-sensing.

    ​I plan to use the Arduino Uno R4 to build an open-source, edge-computing nodes array for micro-climate and localized air quality tracking—directly mirroring the philosophy behind his 'City Scanner' project. By leveraging the Uno's processing power to handle real-time sensor data loops without relying on heavy external libraries, we can prototype the exact low-cost, decentralized cyber-physical systems needed to make our communities more adaptive. Exceptional interview, Farnell team!

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