Expert Galleries: Stefanie Posavec
Stefanie Posavec is an information designer and data visualization creator. She also designs books, book covers, and a lot else. If you aren't yet familiar with her work, we highly recommend looking at the various and wonderful projects on her site. A speaker at Eyeo in 2012 and 2013 (and at our 2011 London Marathon!), her projects stand out for their incorporation of drawing and illustration. As such, it is only appropriate that for our Expert Galleries series, Stefanie has curated a gallery of physical data visualization projects. Below Stefanie answers some of our questions about the project. Enjoy!
How and why did you choose the focus of the gallery?
I've always been interested in physical data visualizations, so I wanted to search through Visualizing.org's archive to see if I could find new examples to file away as inspiration.
What is your favorite piece in the gallery and why?
One of my favorites is the Dark Sky installation by Tiffany Holmes because it requires the viewer to engage with the work through touching it in order to understand the subject matter.
Another of my favorites is Raphael Volkmer's National Excitement project. I'm interested in the experimental visualization method it uses: by pouring pewter into water at different temperatures depending on the data, and letting the pewter take its own form, this project begins to blur the lines between subjective and objective representation of this information. Since data visualization is often about rigor and accuracy, I find this experimental approach very interesting.
What is one insight you'd like viewers to take away from the gallery?
For many of us who work with data, it's very easy to always create data graphics that are flat and/or screen-based (of course, this is often dictated by commercial restraints, but still!) It's exciting to see different practitioners exploring new ways of communicating data to an audience, and these projects stand as a reminder to our community to experiment and explore new ways of representing data.
What is one insight you discovered in making the gallery?
Probably that I need to start making physical data projects myself: I have always been interested in this type of project, but have never made one of my own!