Research-based Artist
Curator / Researcher
Zijing Song / Lillian
(b. 1997) Zijing Song is a multidisciplinary creative based in Hong Kong and Nanjing. Her research explores the theoretical significance of Chinese cultural heritage in art-science collaborations, examining the interconnection between technological advancements and cultural safeguarding. She focuses particularly on the potential of generative AI technologies, including text-to-image and text-to-video GenAI, to engage communities and the public in interactive storytelling with cultural heritage. Reflecting on research projects, she creates related artworks, employing artistic methods and co-creation to disseminate and preserve local folklore activities. The majority of her research employs qualitative methods such as in-depth interviews, ethnography, and case studies to explore the application and impact of creative practices for social good.
She is currently pursuing a Ph.D. in Creative Media at City University of Hong Kong, supervised by Professor Christian WAGNER. She holds an MA in Curating Art from City University of Hong Kong, an MA in Society, Culture, and Media from the University of Leeds (UK), and a BA in Film Directing and Editing from Nanjing University of the Arts (Mainland China).
