Thursday, September 9, 2021 | 4:00 PM EDT - 5:00 PM EDT
Zoom webinar | David Shambaugh
Since the establishment of the People’s Republic of China in 1949, five men have principally shaped the ruling Chinese Communist Party and the nation: Mao Zedong, Deng Xiaoping, Jiang Zemin, Hu Jintao, and Xi Jinping. During their decades of leadership, China, starting from a base of poverty and insularity, became a world power. In his latest book, China’s Leaders: From Mao to Now, David Shambaugh analyzes China’s contemporary history by studying the personal and professional experiences that shaped each leader.
On September 9, 2021 the National Committee hosted a virtual program with David Shambaugh where he discussed his new book.
David Shambaugh
David Shambaugh is Gaston Sigur Professor of Asian Studies, Political Science, & International Affairs and the founding director of the China Policy Program in the Elliott School of International Affairs at George Washington University. Before joining the GW faculty, Professor Shambaugh taught Chinese politics at the University of London’s School of Oriental & African Studies (SOAS) and was editor of The China Quarterly. He also worked at the U.S. Department of State and National Security Council. He served on the board of directors of the National Committee on U.S.-China Relations, and is a member of the Council on Foreign Relations, U.S. Asia-Pacific Council, and other public policy and scholarly organizations. A frequent commentator in the international media, he sits on numerous editorial boards, and has been a consultant to governments, research institutions, foundations, universities, corporations, banks, and investment funds. Professor Shambaugh has published more than 30 books and 300 articles. Dr. Shambaugh received his bachelor’s degree in East Asian studies from George Washington University, his master’s degree in international affairs from Johns Hopkins University School of Advanced International Studies, and his doctorate in political science from the University of Michigan.