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I am a PhD candidate in the Sociology Department at Cornell University. I hold an MS in Computer Science and an MA in Sociology from National Taiwan University. My research interests include political sociology, science, technology, & knowledge, comparative and historical sociology, global and transnational sociology, the sociology of culture, quantitative methodology, computational social science, and sociological theory. I use qualitative, quantitative, and computational methods to analyze archival, organizational, survey, or textual data. My dissertation explores the relationship between statistics, societies, and politics. In addition, I have been involved in research projects on a variety of topics, such as criminologicial knowledge and crime control, social and political trust, democratic politics, corporate elites, world society, and social networks.
David Strang (chair), Mabel Berezin, Martin Wells (Statistical Science), and Malte Ziewitz (STS)
Social Statisticalization: Numbers, States, Science
I explain how social statisticalization—a rationalizing process by which social actors become dependent on statistics to make decisions, justify practices, and update knowledge—is possible. I argue that this manifold social process is deeply rooted in and inextricably intertwined with (i) modern states’ routine collection of official statistics, (ii) statistics’ semantic shift from social science to mathematics, and (iii) the rise of statistical science as a global profession. I use qualitative, quantitative, and computational approaches to analyzing archival, organizational, and textual data on relevant government agencies and professional associations around the world, spanning the nineteenth to the twenty-first centuries.