Media Places: A Report on Knowledge

Last week HUMlab hosted a two and a half day symposium Media Places 2012: Infrastructure Space Media. It was a pleasure to be part of such a well organized and high standard colloquium in which some of the preeminent critics, theorists and practitioners in the fields related to media in space/place gathered. My role in the proceedings was to assist in documenting the exchanges, ideas and perspectives that emerged during the symposium. Part of this documentation was using Twitter. I tweeted as much as I could, but I was joined by many in what I consider to be a successful back-channel discussion. After two and half days I archived a total of 863 tweets tagged with #MediaPlaces2012 (I know – a long tag, I have learned) on Storify, one set for each day:

Day One

Day Two

Day Three

This same archive of tweets has now been visualized on TagsExplorer and spreadsheet by Kim Knight (Image above is from the TagExplorer site).

As a result of scraping the tagged tweets, the #MediaPlaces2012 tweet archive is now available online as documentation of the symposium and as a resource for scholars, participants and anyone interested in the field. I believe the Twitter tag archive is a collaborative document that describes something of the current state of knowledge related to digital media, digital humanities, educational and media infrastructures, culture studies, ethnography, architecture, augmented cognition and cyber-materiality.

Participants in Media Places 2012: Infrastructure Space Media included N. Katherine Hayles – Duke University, Zephyr Frank – Stanford University, Shannon Mattern – Eugene Lang College The New School for Liberal Arts, Johanna Drucker – UC Los Angeles, Garnet Hertz – University of California Irvine, Kim Knight – University of Texas at Dallas, Sheila Kennedy – MIT, Tara McPherson – University of Southern California, Sylvia Lavin – Princeton and University of California Los Angeles, Fred Turner – Stanford University, David Theo Goldberg – UC Irvine and Jo Guldi – Brown University.

If this freely available data is used to create any further visualizations, or in any sort of further research it would be interesting to hear about it here in the comments section.

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