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SUMMARY:Melanie Manion - Xi Jinping's Anticorruption Campaign
DESCRIPTION:Read event summary here \nSpeaker: Melanie Manion\, Duke University \nMelanie Manion is Vor Broker Family Professor of Political Science at Duke University. She studied philosophy and political economy at Peking University in the late 1970s\, was trained in Far Eastern studies at McGill University and the School of Oriental and African Studies at the University of London\, and earned her doctorate in political science at the University of Michigan. Her research focuses on contemporary authoritarianism\, with empirical work on bureaucracy\, corruption\, information\, and representation in China. She is the recipient of numerous research awards\, including awards from the National Science Foundation\, Fulbright Foundation\, Social Science Research Council\, and American Council of Learned Societies. Her newest research investigates the political selection of “winners” in China’s ongoing anticorruption campaign. Recent research\, in collaboration with Charles Chang\, analyzes social media self-censorship in China. Her most recent book\, Information for Autocrats (Cambridge University Press\, 2015)\, examines representation in Chinese local congresses. Previous publications include Retirement of Revolutionaries in China (Princeton University Press\, 1993)\, Corruption by Design (Harvard University Press\, 2004)\, and Contemporary Chinese Politics: New Sources\, Methods\, and Field Strategies (edited with Allen Carlson\, Mary Gallagher\, and Kenneth Lieberthal\, Cambridge University Press\, 2010). Her articles have appeared in journals including American Political Science Review\, Comparative Political Studies\, and China Quarterly. She is an award-winning teacher.
URL:https://fairbank.fas.harvard.edu/events/critical-issues-confronting-china-lecture-series-2-2018-10-31-2019-04-03/
LOCATION:CGIS South S020\, Belfer Case Study Room\, 1730 Cambridge St.\, Cambridge\, MA\, 02138\, United States
CATEGORIES:Critical Issues Confronting China Series
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