Jason Salavon, Assistant Professor in the Department of Visual Arts, is profiled in the latest issue of The University of Chicago Magazine. Salavon’s work bridges the divide between art and technology. For example, by writing a computer program to superimpose and average a number of different photographs, Salavon can create a single image that recalls the paintings of Monet. He can do the same with moving images like feature films and talk shows. In addition to abstracting the realistic, Salavon can also use his techniques to visually represent abstract data. The article explains his method:
To realize his visions, Salavon uses C and C++ programming language, 3-D modeling tools, and other self-created software. “Data in its nature has beauty,” he says. Whether the concept involves demographic stats or pop culture, he never neglects aesthetics. “A viewer will often walk in and not know anything about how the piece was made or the backstory,” Salavon says. “So if it can’t stand by itself as a visual object, it probably won’t pass the test for me.” This interplay between art and technology is an ongoing theme in his work: “There’s real meat on those bones as far as the tension between an autonomous mechanical process and the more traditional human creative process.”
For more information and to see examples of Salavon’s work, read the article at The University of Chicago Magazine.