"Things Fall Apart" is just one of many exciting exhibits ahead at the really incredible CHAT Festival. We've blogged many times about the wonder of the week ahead, both the CHAT Festival at UNC and the Digital Media and Learning Conference in La Jolla, CA, bicoastal digital media extravaganzas, each with a different inflection and flair, both examples of the richness of this new field. "Things Fall Apart" is another example of the offerings at the CHAT Festival. It really is a "festival," so much going on at once, all of it exciting.
"Things Fall Apart" is an exhibit by Duke prof Casey Alt, who happened to be one of our very first directors of our ISIS program back in the day, when the field was still pretty nascent. Casey is a visiting prof of the practice of visual studies at Duke, and is one of many faculty from that department and from the ISIS program who will be part of this incredible festival. If you don't have a ticket yet, register now.
--Here's the url for the full Festival site: http://www.chatfestival2010.com/ and for the schedule: http://www.chatfestival2010.com/daily-schedule.html
--This exhibit looks just beautiful. Congratulations, Casey!
Things Fall Apart
Tuesday, 5:00 to 7:00 p.m.
Wednesday, 5:00 to 9:00 p.m.
Thursday, 5:00 to 7:00 p.m.
Friday, 5:00 to 7:00 p.m.
Free and open to the public
Casey Alt, visiting assistant professor of the Practice of Visual Arts, Duke University
Things Fall Apart is a series of eight generative software works that illustrates the enchanting fragility of social systems. Created using the Processing programming language, the pieces visualize the changing relationships among different social network simulations, each with unique initial conditions and social rules.
The resultant imagery represents a visual history of these dynamic behaviors, with colors, forms and motions varying as the relationships unfold across each system. The specific visual properties of each piece draw upon traditional painterly styles to evocatively reinforce the type of social system being simulated.
Since the works emerge dynamically each time they are run yet still conform to the same social rules, every iteration of every work is different yet stylistically similar. Each work concludes once all of its objects exceed a predefined lifespan or its network system collapses.