Herbert Chang

Herbert Chang is an Assistant Professor of Quantitative Social Science at Dartmouth College, with an adjunct role in Mathematics and Computer Science. His research focuses on computational social science, analyzing social networks, online political dynamics, and technology's impact on human behavior. Notable work includes studies on the 2020 U.S. and Taiwanese elections, the George Floyd protests, and the Russian invasion of Ukraine, which have influenced policy responses like U.S. Justice Department actions against oligarchs.

Education: B.A. from Dartmouth College, M.Sc. from University of Edinburgh, Ph.D. from University of Southern California. His research group combines machine learning with investigative journalism to address societal challenges, highlighted by Forbes 30 Under 30 recognition in Science (2024).

Research Interests: Data science methodologies applied to social questions, including AI ethics, algorithmic discrimination, and digital civic participation. His interdisciplinary approach bridges computational techniques with sociopolitical analysis, emphasizing democratic values in socio-technical systems.

Awards: Forbes 30 Under 30 in Science (2024). Media features include New York Times, Washington Post, Scientific American, and Forbes. Ongoing work examines AI's role in the 2024 U.S. elections and technology's influence on political mobilization.

Labs/Teams: Leads the Computational Social Science Group at Dartmouth, focusing on machine learning applications for social inquiry and data-driven storytelling.