Eyvind Kang

Faculty - Music

Hip Hop Lab

A class album and some videos

Nina Flagg, Medusa

Jennie Park

Three kinetic sculptures explore relationships between circularity/co-opting/recycling and linearity/polarization/binary-ness, and how personal agency or positionality intersects with these linked mechanics. (They’re NOT “voting machines;” they reflect the operation of many large systems, frameworks and conversations, e.g., the relationship between the DIY ethos and capitalism, between the political far left and far right, and among nested […]

Mira Spremich

Endure Yikai Luc Wu, Kai-Luen Liang, Madyson Thornquest, Max Harper, Nick Chang

Aashray Harishankar

Flight “Flight” is a 2019 concept album mirroring the timeline of human life, from birth until death and beyond. Each song, lyrically and sonically, represents a different time period, but all are reflections of life as a whole. Beginning with “Liftoff/Zephyr”, we rise into a period of birth and infancy, of wonder and innocence, carrying […]

Carla Lopez

Water as a cleansing, invigorating, distortional, and transitional space. Motel pools as portals. Coloring and Layout Assistance – Lula Ochoa and Emily Malone My Swimmers – Lula Ochoa, Audrey Bandrowski, James Holsten, and Arius Ziaee Additional Camera Work – Savannah Perry Music by 11ai – www.ilai.link Thank you to the Calarts Risograph Printing Techs, especially […]

Shaharoh Chism

Crazy For You Crazy For You performed by Shaharoh and her band In Lieu Of. www.shaharoh.com Band: Brian Farst, David Howard and Ben Ochieng

Kai Luen Liang

Flag ASMR “On Sept 11th, 2001 I watched the twin towers falling with my father. Glued to the TV. A silent demolition. An American reality TV show. In the weeks that followed, I started to see American flags everywhere. Especially from immigrants of all colors, flying the flag out of a sense of fear of […]

Emily Eisenstein

plasticity My clothes my hair my face my body. The way I look and the way I feel are at war with each other. A film about gender in isolation.

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.