Scientists, mathematicians, engineers, sociologists, and anyone who works with sets of data often use numerical figures to represent ideas and findings. Communicating this data is essential to the investigation process and can influence the way professionals and the public interpret research in the social and scientific fields.

Data Viz Collaborative is a course that synthesizes processes of discovery from art, science, and engineering.

For the fifth consecutive year, students from the School of the Art Institute of Chicago (SAIC) and Northwestern University (NU) worked collaboratively to research, engage with design and experimental arts practice, and imagine creative approaches to information visualization.

This culminating exhibition at SAIC’s LeRoy Neiman Center features group projects embodying and transforming data from synthetic biology and the lived urban environment, asking the viewer how images can affect knowledge at the intersection of science and art.

PARTICIPATING STUDENTS

Michael Benimovich (NU)

Joe Burke (NU)

Sora M. Cande (SAIC)

Susie Choi (SAIC)

Eileen Holland (NU)

Akshay Jain (NU)

Adriana Keech (SAIC)

Jiayan Ma (NU)

Maddy Olson (SAIC)

Ethan Proia (SAIC)

Hayan Song (SAIC)

Ayhan Toprak Tosun (SAIC)

Vivian Wan (NU)

Jeanette Margaret Wells (SAIC)

Aria Wu (SAIC)

Xiangrui Zeng (SAIC)

PARTICIPATING FACULTY

Wanbli Gamache (MFA 2019), Teaching Assistant, Department of Film, Video, New Media and Animation, SAIC

Adam Bach, Lecturer, Department of Art and Technology Studies, SAIC

Larry Birnbaum, Professor, Department of Computer Science, Northwestern University

Scott Cambo, PhD Candidate, Technology & Social Behavior, Northwestern University

Christine Shallenberg, Lecturer, Departments of Art and Technology Studies and Contemporary Practices, SAIC

LIKE US ON INSTAGRAM!🌈🌎✨ @dataxart @dataxart@dataxart ✨⚡💥