Weidong yang, yetunde Olagbaju, + tamara kneese
Tuesday, Feb. 20th @7pm
SAN FRANCISCO, CA
Weidong Yang founded Kinetech Arts, a dance and science non-profit, and Kineviz, creating data solution in VR. He has a PhD in Physics and a MS in Computer Science. His experience encompasses academia research, industrial product development, artistic exploration, and entrepreneurship. He has eleven U.S. patents, over twenty peer-reviewed journal publications, and also created many performances.
Yetunde Olagbaju is a multidisciplinary artist and collaborator currently residing in Oakland, CA. Through her work, she concerns herself with time travel, space, source, vulnerability, ancestry, and the human relationship to the Blackness of the universe. Through video, installation, performance, sound, and ritual she aims to illuminate paths of deep emotional kinship within the human experience. This is with the distinct desire to reimagine past, present, and future. To manifest and highlight the seen and unseen bridges for that exchange. Havinf received a BFA from Beloit College in Studio Art and Museum Studies, Olabaju's praxis is deeply rooted in the exploration of self, radical vulnerability, storytelling, and utilizing lineage as the basis for true time travel. She has displayed work at the Oakland Museum of Art, SOMArts, The New School, New Image Gallery and has worked with institutions such as San Francisco Museum of Modern Art, Museum of the African Diaspora, and Yerba Buena Center for the Arts.
Tamara Kneese I'm an Assistant Professor in the Department of Media Studies at the University of San Francisco. My work examines the technocultures of life extension, from insurance and estate planning to digital posterity and transhumanism. My current book project traces the rise of digital estate planning startup companies, focusing on the intergenerational care work required to maintain digital afterlives as networked heirlooms. I received my PhD from the Department of Media, Culture, and Communication at NYU. My work has been supported by the Mellon Foundation, the American Council of Learned Societies, the Data & Society Research Institute, the Intel Science & Technology Center for Social Computing, and the Consortium for History of Science, Technology, and Medicine.