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Ching Jin

Ching Jin (Assistant Professor)

I am a computational social scientist, who specializes in developing novel computational methodologies by leveraging tools from network science, statistical physics, and artificial intelligence. My work involves applying these methods to large-scale datasets across various domains, including technology, science, and commerce, with the overarching goal of describing, modeling, and predicting social patterns. My research has resulted in several academic journal publications, including first-authored papers in Nature Human Behaviour (featured on the cover) and Nature Communications and has been covered in media outlets such as Harvard Business Review and Science Daily.

Before I joined CIM, I served as a postdoctoral researcher at the Kellogg School of Management and held the role of associate director at the Northwestern Institute on Complex Systems (NICO), both at Northwestern University. I earned my PhD in Physics from Northeastern University.

Research interest:

data science, network science, complexity science and computational social science.

Selected publications:

Ching Jin, Yifang Ma, and Brian Uzzi. "Scientific prizes and the extraordinary growth of scientific topics." Nature communications 12, no. 1 (2021): 5619. [Link:] 

Ching Jin, Chaoming Song, Johannes Bjelland, Geoffrey Canright, and Dashun Wang. "Emergence of scaling in complex substitutive systems." Nature human behaviour 3, no. 8 (2019): 837-846. [Link:]


Centre for Interdisciplinary Methodologies
Room B0.16
University of Warwick


Website: Ching Jin