Random Access: Data as Art
Each of the artists in this exhibition uses data as a source to define the visual outcome of the pieces. Random Access explores the stories that are revealed as data becomes visualized as works of art. Joelle Dietrick mixes data regarding foreclosed homes and 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 software that combines drawing with generative processes to explore a network.
