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.
Academic Background
2021-present
PhD candidate, Creative Media, City University of Hong Kong
Supervisor: Prof. Christian WAGNER
2020-2021
MA, Creative Media (Curating Art Stream), City University of Hong Kong
2019-2020
MA, Socioty, Culture, and Media, University of Leeds
2015-2019
BA, Film and Television Directing, Nanjing University of the Art