Science, Technology, and Society Seminar: STS Circle at Harvard

Date: 

Monday, April 18, 2016, 12:15pm to 2:00pm

Location: 

Harvard University Center for the Environment, 24 Oxford Street, 3rd Floor Seminar Room

"No ‘Mean’ Solution: The Reformulation of Statistical Science in the Early People’s Republic of China"

Speaker:

Arunabh Ghosh, Assistant Professor, Department of History, Harvard University.

Co-sponsored by the Graduate School of Arts and Sciences, and the School of Engineering and Applied Sciences, Harvard University.

Lunch is provided if you RSVP via our online form by Thursday of the week before the event.

Contact:

Shana Rabinowich
shana_rabinowich@hks.harvard.edu

Chair:

Sheila Jasanoff, Faculty Associate. Pforzheimer Professor of Science and Technology Studies, Harvard Kennedy School.

Abstract:

In 1949, China’s victorious communist revolutionaries were confronted by the dual challenge of a near absent statistical infrastructure and the pressing theoretical need to escape the universalist claims of (capitalist) statistics. Rejecting pre-existing traditions of social science research, revolutionary statisticians and economists chose instead to follow the Soviet Union’s ‘advanced experience.’ Statistics was reformulated as a social science in service to building a socialist society, bifurcating it—rhetorically and substantively—from what was labeled the tainted, bourgeois, and socially unproductive pursuit of mathematical statistics and probability theory. In this talk, I follow the later career of the statistician, banker, and one-time government official Jin Guobao 金国宝 (1893-1963). As the author of China’s most popular statistics textbook during the 1940s (An Outline of Statistics), Jin was an especially easy target for socialist statisticians during the early 1950s. By 1956, he was among a handful of pre-1949 era statisticians whose works were repeatedly dissected in statistical journals as exemplars of capitalist statistics. In following the story of Jin (and his colleagues), I also locate what substantively changed in the content of statistical science during the 1950s; in other words, what theories and concepts were retained, what was rejected, and how this was justified.

Bio:

Arunabh Ghosh (BA Haverford College, 2003; PhD Columbia University, 2014) is a historian of modern China and Assistant Professor in the History Department at Harvard. Arunabh's research interests include the social, economic, and intellectual history of the People’s Republic of China, transnational histories of science and statecraft, and China-India history. His current book project, “Making it Count: Statistics and Statecraft in the early People’s Republic of China, 1949-1959,” investigates how the state built statistical capacity to know the nation through numbers. Arunabh is additionally interested in applying digital humanities methods, in particular text mining and natural language processing, to the study of recent Chinese history. Future research projects include a history of dam construction in twentieth century China and essays on China-India contact during the 1950s.