Edward (Byungkwon) Kang

Edward (Byungkwon) Kang

All But Dissertation

Edward B. Kang is a doctoral candidate at the Annenberg School for Communication and Journalism. Broadly, his research concerns the social and cultural dimensions of machine learning technologies with a specific focus on the relationship between sound, race, and identity. In the specific context of his dissertation, he explores the sociotechnical imaginaries around vocal ontology as they relate to machine learning cultures, practices, and techniques in contemporary 'machine listening' systems such as voice identification, biometric, and analytic technologies. His writing has been published in peer-reviewed journals such as Social Studies of Science, New Media & Society and the International Journal of Communication.

Apart from his own research, he is a part of the 'Knowing Machines' research group led by Kate Crawford (USC + Microsoft Research), Jason Schultz (NYU), and Mike Ananny (USC). He has also served as a committee member for Annenberg's annual Communication and Cultural Studies graduate student conference Critical Mediations, led Music Production workshops for Annenberg's Critical Media Project with California Humanities, and worked as assistant editor for the International Journal of Communication.

Prior to joining Annenberg, Edward received a B.A. in East Asian Area Studies with a minor in Music Industry from the University of Southern California. He has also, since then, been semi-active as a music producer, sound engineer, and DJ.