Rosemary Pang

Rosemary Pang is a Lecturer in the Data Analytics and Computational Social Science (DACSS) program at the University of Massachusetts Amherst, housed within the School of Public Policy. She teaches R programming, survey analysis, and text analysis courses. Her research focuses on autocratic regimes' political dynamics, particularly in China, with expertise in computational methods including NLP and quantitative text analysis.

Education:

• Ph.D. in Political Science and Social Data Analytics (Dual Degree), Pennsylvania State University
• M.A., Purdue University
• B.A., University of Nottingham, Ningbo, China

Her work bridges comparative politics and computational methods, examining topics like party institutionalization, corruption, and legitimacy in non-democratic systems. Recent research explores protest dynamics in autocracies and the societal impacts of social movements.

While no formal student advisees are listed, her teaching and research emphasize applied data science in political contexts. No grants or awards are explicitly mentioned in the provided materials.

Her methodological strengths include text mining, survey analysis, and computational social science frameworks, which she applies to understand authoritarian governance structures and their societal implications.