Jason Salavon

Using software processes of his own design, Jason Salavon generates and reconfigures masses of communal material to present new perspectives on the familiar. Though formally varied, his projects frequently manipulate the roles of individual elements arranged in diverse visual populations. This often unearths unexpected pattern as the relationship between the part and the whole, the individual and the group, is explored. The final compositions are exhibited as art objects, such as photographic prints and video installations, while others exist in a real-time software context.

He teaches in the Department of Visual Arts and the Computation Institute at the University of Chicago. Previously, he taught at The School of the Art Institute of Chicago and worked as an artist and programmer in the video game industry.

*Recommended reading: How Jason Turns Code into Cascading Color.
Critical Computation: Data & Algorithm in Art

Jason will discuss a range of computationally-engaged artworks from the last two decades. Exploring content ranging from Playboy Centerfolds to procedural Abstract Expressionist painting to the entirety of the Wikipedia, the talk will close with a discussion of recent large-scale generative and deep learning projects.