Emily Eisenstein
BFA 3 - Theatre
Morgan Ogilvie
This is no dream
Charles Danner
TW/CW: trauma **Trigger Warning** This is a multimedia piece about the experience of being a victim of trauma in the current COVID-19 climate. The piece consists of original poetry written and performed by Nicole Paige Chaffin over an original score by Charles Van Alst Danner. The score features a custom feedback instrument, the FeedBox in […]
Daniel Corral
15 Pendulums This is a Unity-based video piece, inspired by Reich’s Pendulum Music, but with a microtonal tuning based on a 1-3-5-7 combination-product set. The fundamental of this tuning is an upper 2/1 partial of the Schumann resonance 7.83 Hz. This Schumann resonance is basically the resonant frequency of the Earth’s electromagnetic field. Here is […]
Max Harper
Apollo, Apollo! In this swift hell, firefighters wore upwards of seventy-five pounds of gear, as they walked atop a landscape rendered to burning coal. Guided only by headlights, the firefighters would soak the path in front of them. Every step released a fine silt of red embers and ash that moved weightlessly through the air, […]
Joana P. Cardozo
The Naked Hours For 100 hours, I cut 2 x 2 inches black paper with scissors and covered the L-Shape Gallery walls at the California Institute of the Arts. I did not speak. I did not use a cell phone or other electronics. I ate, rested, wrote, and meditated as necessary. I left the gallery […]
Vanessa Kwan
Ernestine and Delilah Ernestine and Delilah navigate their love in an apocalyptic world. Collaborators: Claire Brnjac https://vanessakwan.art/
Mia Yao Meng
Hyperreal Gesstures This project is a reflection of the gestures we perform on a routine basis in order to interact (as the trigger and the data input) with networked devices such as smartphones and laptops. These gestures are abstracted/flattened in the design process and transformed into online behaviors. This habit-formation process only takes us a […]
Dongpu Ling
ML Landscape I am interested in the inaccurate and unpredictable result that a machine can make. In order to understand its “mind”, I train the machine using images that have not been cropped, to see how it understands a thing that has not be seen before.