His research interest hinges on the intersections between computation and design. With the rise of smartphones and other internet-connected devices, design choices become increasingly data-driven and dependent on information’s credibility in the construction of the human habitat. Chang’s research focuses on human habitat’s design, environmental impact, and information’s credibility in the big-data age. His teaching interests at Duke Kunshan include computational social science, digital humanities, and urban informatics.

He has published several articles in peer-reviewed journals and at conferences, including on dig data and machine learning in natural science, social science, and the humanities.

Chang has a B.A. in geography from Beijing Normal University, and a M.Sc. and Ph.D. in environmental studies from the University of Wisconsin, Madison. Before joining Duke Kunshan, he served as the 2016-2017 postdoctoral fellow in Chinese studies at Stanford University and the 2018-2019 postdoctoral associate in Asian studies at Yale University.