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Creative visualizing of data

23 Oct

We just had a group at the Decision Theater inquiring how our visualizations, which are being linked to data sets, could be used in a Creative way. Creative with the capital C, that is.

So I am thrilled to promote a cool new interface launched today yesterday at Arizona State University’s Global Institute of Sustainability.

It’s called the Campus Metabolism project. Specifically, a web-based tool (a richer experience than Dashboard) for displaying real-time energy use in several buildings across the Tempe campus.

For anyone managing gobs of data and has a hard time getting it to mean something, this is cutting edge. What’s most interesting is that the Campus Metabolism concept was created as a student project – A bottom-up process, if you will. Also, this is the kind of data that makes people feel a real connection to how we relate to the network, the grid, the eco-system. It was initiated with the purpose of looking at “the hidden connection between the impact of the actions in our daily lives and the natural world.”

Sidebar: The folks behind it:
Campus Metabolism brings out the collaborative force behind the work going at at the Global Institute of Sustainability. This one nvolved: ASU Facilities Management, The National Center of Excellence on SMART Innovations, University Student Initiatives, Barrett Honors College, University Architects Office, College of Design, Ira A. Fulton School of Engineering, Psychology, the student chapter of Engineers Without Borders, and APS Energy Services.

Read more about the project here.

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One response to “Creative visualizing of data

  1. dennie

    October 29, 2008 at 5:10 am

    I believe that coding is an essential skill for people making live digital visuals. At the same time, there’s no question that learning to code has been a big obstacle for visually creative people — especially as they have plenty of other things on their mind. You need somewhere to start, and you need to make the learning curve manageable. Processing has been a great tool for doing that, but the point isn’t to learn Processing — it’s to learn how to code.Methods sections are wonderful because they allow you to verify that someone else’s work is correct — by reproducing it ourself. But more importantly, methods sections allow you to build upon the work of others. They are the open source code of science.Unfortunately, for all but a small fraction of data visualizations on the web, there are no methods sections being published. This is a shame, because it slows the free flow of ideas and prevents the creative extension of other people’s work
    ————–

    Dennie

    Creative visualizing of data

    make money on facebook

     

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