Random Access: Data as Art Exhibit at Montserrat College of Art
February 2 - March 31, 2012
In Random Access: Data as Art, each of the artists in the exhibition uses data as a source to define the visual outcome of the pieces. As numbers camped in visuals, Random Access explores the way stories are measured in different units, revealing more interesting avenues to pursue the charting of information. Plotting information is more than an intellectual or artistic exercise, it is a proponent of how our society moves towards any goal, microscopic or monumental. Graphic data catalyzes the planning, execution and triumph of current events as well as the unseen movements of the natural world.
Joelle Dietrick mixes data regarding foreclosed homes with Sherwin-Williams 2007 Color Forecast paints. Reese Inman uses mapping source imagery of an existing space and remixes it with the visual surface of another to create a visualization of the space between them. George Legrady focuses on aesthetic research through integrating data mapping, data visualization and self-organizing algorithms into interactive art installations. Nathalie Miebach translates scientific data related to astronomy, ecology and meteorology into woven sculptures. Casey Reas illustrates the forms, behaviors, and elements that are the foundation of generative software that combines drawing with generative processes to explore a network.