Vanessa Kwan

Rob Ford Explorer Original experimental music from CalArts that would be perfect for the virtual expo! Greg Lewis, Cameron Sax

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 […]

Noticing Nature Noticing Nature looks at how a new story is needed that is more centered around nature. It explores how everything, including ourselves, is connected, and how important it is that we take the time to slow down and notice the nature that surrounds us every day. http://www.noticingnature.com/

home movies “sometimes i wish i was a woman, just so i could have an abortion” – john waters Connor Linnerooth "Lords and Ringz" – Last Week's Weather Tonight A celebrity guest and phone calls. What could go wrong? two jokes joke + joke = jokes

Live Your Fantasy! Daniel L Rappaport is a CalArts alum (graphic design ’01) and is a graduate of the FIDM/Fashion Institute of Design and Merchandising (digital media ’08). His ascendants are Walt Disney, Steve Jobs, and others, and he hails from the disgustingly famous Beverly Hills, CA. He has over 25 years of digital media […]

Genesis A clone decides she wants to be more than just another face in the crowd. Collaborators: Roy Berardo, Karen Tanaka, Brian Morones, MSmitherman, Madi Thoele, Samantha Norrie https://www.artstation.com/tristan_kilmer

Kai-Luen Liang Tomorrow There Will Be Wind ( Automatic Windchimes ) A performance of playing an Arduino controlled set of wind chimes. Vibration motors are activated through a motor driver creating divisions and polyrhythms based on various “states.” First iteration prototype with beer bottle activation.   Trevor Bock 4-Note Bottle Blowing Instrument I have always […]

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.