This line of research examines creativity as a socially embedded (Nature Communications, 2024) and increasingly AI-facilitated (Journal of Creativity, 2024) process, with a focus on how emerging technologies shape the production and diffusion of ideas. Drawing on computational social science and cognitive science, we study how creative outputs—from films (PLOS ONE, 2014) to music (ICWSM, 2019; EPJ Data Science, 2023)—are shaped by patterns of collaboration and technology use.
Our recent work explores opportunities to enhance creativity through AI-assisted tools (Journal of Creativity, 2024) and examines the role of in-person versus virtual communication in idea generation and selection (Nature, 2022).
Ongoing projects investigate how text-to-music generative AI systems, such as Lyria 3, can serve as experimental interfaces for studying and advancing creative thinking. We conduct large-scale experiments with both musicians and non-musicians to test interventions designed to improve participants’ divergent thinking in musical creativity.
Together, this research agenda aims to inform both individual creative practice and organizational approaches at a moment of rapid and potentially lasting transformation in how creative work is produced.
