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Ken Benoit is Dean and Professor of Computational Social Science at the School of Social Sciences, Singapore Management University. He is the Director of the Data Science Institute and has extensive research experience focused on computational and quantitative methods for processing large amounts of textual data, particularly in the field of political science. His research interests include text-as-data methods, natural language processing, and the analysis of political party competition. Notably, his approach combines statistical scaling with qualitative assessments powered by thousands of human coders executing small coding tasks. Currently, his work applies large language models to enhance text analytic methods in social sciences, leveraging the capabilities of deep learning to extract meaningful content from social texts. Ken received his PhD in Government with a specialization in statistical methodology from Harvard University.
This entry applies generally to the PhD in Business specializations including Finance, Marketing, Operations Management, Strategic Management, and Organisational Behaviour and Human Resources.