About Us
Art + Data began as a conversation between Chelsea Gunn and Liz Monk.   Together they wanted to explore creative and non-traditionals ways to engage and converse with and around data.   This led to programming across the Pittsburgh area.  

This series began as workshops for the Year of Data and Society at the University of Pittsburgh during the 2021-2022 academic year. Since then, Art + Data has been offered in various settings, including the Center for Creativity, the University Library System, undergraduate courses, the Greater Pittsburgh Arts Council, and a zine-making workshop at Prototype PGH.   The workshops facilitate conversations about personal and civic data, considering how data visualization and analysis are interpretive, humanistic endeavors.  The series explores visualization without computers, and examine  feelings toward and approaches to working with data. 

The primary audience for Art + Data are people who have or want to have an art practice, curious about data, thinking about the world around them, want to better understand how data impacts life.  

The guiding principle for Art + Data is joy.  




       
                                                                                                 
Chelsea Gunn is a Teaching Assistant Professor at the University of Pittsburgh’s School of Computing and Information, where she teaches in the Master of Library and Information Science program. Her work is motivated by curiosity about personal recordkeeping practices and the impact of data and information systems on human memory; it’s also motivated by a desire to share that curiosity with others. 


Liz Monk
manages Community Engagement and Special Projects at the Western Pennsylvania Regional Data Center (WPRDC) at the University of Pittsburgh Center for Social and Urban Research.  Before joining the WPRDC, Liz worked in a wide variety of positions in public engagement and sustainable agriculture.  Her current interests include exploring alternative ways to communicate and convene around data especially through art and conversation.