Live Processing and Live Art: Performance and Technology (2014-2015)

Live Processing and Live Art was offered as a course in Fall 2014 by Duke faculty in Electrical and Computer Engineering, Dance and African and African American Studies. Designed for a mixed cohort of undergraduate and graduate students, the course built on the work explored in the Spring 2013 course Dance 308/ECE 496/ISIS 376/THEATRST 364: Performance and Technology. This highly interdisciplinary module expanded on emergent design in practical engineering, live art and contemporary performance as well as cultural and performance studies methodologies to encourage an expanded awareness of creative space and possibility surrounding information processing. The project team’s work combined the manipulation of data-intensive live processing with the making of live art works. The module included visits to the Museum of Contemporary Art (Raleigh), the North Carolina Museum of Art and the Nasher Museum of Art.

The team created projects that engage emerging trends in processing language, Arduino hardware and Isadora software programming to create ways to transform the world around us via information processing-intensive engineering performance projects. Training in these areas enabled students to continue in advanced work that aligns these diverse sorts of inquiry, transforming the possibilities in creative elaboration in information processing, live art and social awareness.



Team Outcomes

Duke University Dance Program ChoreoLab 2014: Intermission Objects (video)

Live Processing and Live Art: Performance and Technology Promo (video)

Live Processing and Live Art: Performance and Technology (video)

This Team in the News

Faculty Perspectives: Martin Brooke

Creating Artists Who Understand Technology, and Engineers Who Understand Art

Engineering Creative Design

See related teams, Performance in the Community (2016-2017) and Machine Society Interfaces (2015-2016).

Faculty/Staff Team Members

Martin Brooke, Pratt School - Electrical & Computer Engineering*
Thomas F. DeFrantz, Trinity - African & African American Studies*
Tyler Walters, Trinity - Dance*

Graduate Team Members

Kevin Liang, Machine Learning
Thomas Sirk, GMALS

Undergraduate Team Members

Priya Achaibar, Electrical & Computer Engineering
Steven Bao, Electrical & Computer Engineering
Robert Wallace Bruce III, Electrical & Computer Engineering
Kevin Button, Electrical & Computer Engineering
Bojia Chen, Electrical & Computer Engineering
Victor Chen, Electrical & Computer Engineering
Brett Fox, Electrical & Computer Engineering
Samantha Huerta, Computer Science (BS)
Kevin Jian, Electrical & Computer Engineering
Lorienne Kim, Statistical Science (BS)
Calvin Won Park
Neha Pathmanaban, Biomedical Engineering
Jonathan Reshef, Electrical & Computer Engineering
Christopher Streiffer
Charles Edward Taylor, Computer Science (BS)
Davis Treybig, Electrical & Computer Engineering
Kei Yoshikoshi, Electrical & Computer Engineering
Shiqian Zhang, Computer Science (AB)

* denotes team leader


Completed, Archived