Data Viz Collaborative
Exhibition: Data Viz Collaborative
August 16–October 4
Gallery X (280 S. Columbus Dr., room 113): August 16–22
LeRoy Neiman Center Lobby (37 S. Wabash Ave.): August 16–October 4
Opening Reception: Friday, August 16, 4:00–6:00 p.m.
Gallery X hours:
Fri. 8/16, 4:00–6:00 p.m.; Sat. 8/17, 11:00 a.m.–4:00 p.m.; Sun. 8/18: closed;
Mon–Thu: 11:00 a.m.–6:00 p.m.
Read a brief summary of the course and student projects here.
For more information: 312.629.6635 | firstname.lastname@example.org
Twenty-one students and nine faculty members from Northwestern University (NU) and the School of the Art Institute of Chicago (SAIC) are combining big data with collaborative research, studio arts, and visual communication design this summer on SAIC’s downtown campus. The results—creative approaches to information visualization developed in an intensive new course, called Data Viz Collaborative—will go on view for three weeks in a free exhibition opening Friday, August 16. The course and exhibition, which will also travel to NU, are the latest developments at SAIC in a long history of exploring the connections between art, science, and their processes of discovery.
Participating NU students include Beau Becker, Sara Clifton (fellow), Karna Gowda, Daniel Ha, Felix Hu, Shiqiang Li, Audrey Lustig (fellow), Nick Timkovich (fellow), Rachel Weathered, and Kyle Yakal-Kremski.
Participating SAIC students include Brendan Albano, Will Becker, Richard Blackwell, Sarah Faulk, Yuehao Jiang, Zac Kile, Emma Peng, Miguel Perez (Teaching Assistant), Zeke Raney, Ariel Zekelman, and Shuting Zheng.
Data Viz Collaborative
VISCOM 4560/SCIENCE 4007
Summer 6W2: July 8–August 16
Data Viz Collaborative is a new class that will be team taught in the summer of 2013 by a group of interdisciplinary faculty based at both the School of the Art Institute of Chicago (SAIC) and Northwestern University (NU). The course has two primary goals:
- Establish a critical dialogue about information visualization across multiple disciplines
This goal will be accomplished by engaging students in a series of short lectures delivered by both the science and studio faculty that discuss how images that picture complex data sets help move their own research projects forward or how images might enhance/problematize/critique/promote new knowledge acquisition in science, art, and/or design.
- Engage students in collaborative research on information visualization using existing data sets
This goal is addressed by inviting students to join one of three research teams, which meet weekly to collectively work on a large data set to experiment with translation of numeric information into various forms.
The course is open to both undergraduate and graduate students from either institution, and it will meet for six weeks and culminate in a group exhibition.
Photo by Gregory Reigh.
- Danny Abrams, Department of Engineering Sciences and Applied Mathematics
- Luis Amaral, Department of Chemical and Biological Engineering
- Bruce Ankenman, Department of Industrial Engineering & Management Sciences
- Steven Franconeri, Department of Psychology
The School of the Art Institute of Chicago
- Michael Golec, Art History, Theory, and Criticism
- Tiffany Holmes, Dean's Office/Art and Technology Studies
- Bo Rodda, Architecture, Interior Architecture, and Designed Objects
- Adam Trowbridge, Contemporary Practices
- Jessica Westbrook, Contemporary Practices