Assistant Professor of Environment and Urban Studies, Duke Kunshan University
Urban Informatics, Computational Social Science, Digital Humanities
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.
Chang, Charles. “A Data Driven Approach to Study the Social and Political Statuses of Urban Communities in Kunming.” Journal of Chinese History (2020): 1-21.
Chang, Charles, and Michael Masterson. “Using Word Order in Political Text Classification with Long Short-term Memory Models.” Political Analysis (2020): 1-17.
Schneider, Annemarie, Chaoyi Chang, and Kurt Paulsen. “The changing spatial form of cities in Western China.” Landscape and Urban Planning 135 (2015): 40-61.
