How To Break Anything

Innovation + experience-minded design strategy. The pieces of a working model for understanding culture + change in an increasingly complex world.

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      25 Feb 2011

      Instant mapping of environmental conditions for better understanding of long-term health

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      Click here to download:
      Real-Time_Pollution_Monitoring.mov (12.71 MB)

      A couple weeks ago I was asked what I'm most excited about regarding real-time data, from someone referencing the PSFK Future of Real-Time report. My answer is captured in the video above; mostly it's about seeing interesting things like the Warning Signs project in the image below develop, alongside the thinking captured by people like Bill Davenhall in his talk Your Health Depends On Where You Live.

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      20 Nov 2010

      The Library of Congress adds 11,000 books to its collection every day

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      From The Library of Congress. 11,000 books a day probably seems like a lot, but remember that *everything* is data - we just happen to have come a across 'books' as a relatively efficient way to organize it.

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    • Contributors

      Kyle Cameron Studstill
    • Obox Design
  • How To Break Anything

    Hello friends and collaborators. I deal in innovation, working to build fantastic experiences enabled by the digital world. As part of this I track cultural change, primarily through observations guided by models and filters calibrated over years to sort out the cream.

    These pieces of thoughts here reflect concepts that are elements of those models: ecosystem thinking, long-term value, information filters, and pattern recognition.

    ("How to break anything" is an abstract notion that reflects my background in observation and analysis. Rules are meant to be broken, but only through understanding the rules - observing them with an empathetic eye - can they be broken constructively.

    So how to break anything? Observe everything.

    [You can't observe everything so how do you know what to observe? That's another project that I call Filter Theory - see the About link above.])

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