Usha Venkat
BFA 2 - Art
Radical Practice
Radical Practice is a series of podcast conversations between CalArts Graphic Design Program alumnae and current students. Each episode features an alumna with a distinct professional practice, including BFAs and MFAs whose endeavors range from cultural to corporate and from singular enterprises to ambitious ideas. We’ll discuss how they have defined success for themselves and gather insights into how their CalArts education might have played a role.
Collaborators:
Louise Sandhaus, Alex Meir, Natalie Gooden, Alene Tashjian, Usha Venkat, Lily Yeh,
Zhenyu Qu
Mengqing Yuan
B-body “My B-body” is a project I created during home quarantine. It is based on a poem I wrote about the relationship between my physical body and my consciousness. The text of the poem reads: My B-body My body doesn’t belong to me It wants to be free It wants to come apart It wants […]
Roger Kim
Elements Elements is an interactive web-based installation that uses the classical Chinese idea of five elements (火 fire, 水 water, 木 wood, 金 metal, and 土 earth) to explore perspectives that contradict and coexist at the same time. Visitors to the web-page will be able to manipulate elements (as represented by Chinese characters), and see […]
Gabriela Padilla
TW/CW: abuse, violence, suicide This song is about overcoming depression and suicide awareness through hope.
Marina Santana De la Torre
Alternative Facts (Hechos Alternativos) A reflection on the phrase “Alternative Facts” used during a press conference in January 22, 2017
Lorelei Acuna
Indigarb Fast fashion is the world’s second largest polluter, emitting 10% of all carbon emissions and is dumped into lands and oceans all over the world. In Our compilation of video and photography come together to evoke empathetic response in our viewers. By seeing humans absorbed in plastic, we mirror the way our Earth and […]
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.