معرفی
Gary W. Cox is the William Bennett Munro Professor of Political Science at Stanford University. He specializes in American Politics, Comparative Politics, and Political Methodology, with a focus on electoral systems, legislative behavior, and historical political economy. His work examines how institutional frameworks shape political competition, representation, and governance across historical and comparative contexts.
Education:
- Ph.D. in Social Science, California Institute of Technology (1982)
- B.S. in History, California Institute of Technology (1978)
Research Interests:
Cox investigates the interplay between electoral institutions and political outcomes, including the effects of proportional representation on voter mobilization, the historical evolution of legislative power, and the political economy of suffrage reform. His research combines quantitative and historical methods to analyze topics like party systems, legislative agendas, and the long-term impacts of constitutional design.
Key Contributions:
Cox’s seminal works include The Efficient Secret (1983), Legislative Leviathan (1999), and Marketing Sovereign Promises (2016), which have won multiple awards. His recent articles address gender representation in parliamentary systems, the role of warfare in state formation, and the strategic dynamics of electoral teams.
Awards & Honors:
- Guggenheim Fellow
- Elected to the American Academy of Arts and Sciences (1996)
- Elected to the National Academy of Sciences (2005)
- Recipient of major prizes including the Samuel H. Beer Dissertation Prize (1983) and the George H. Hallett Award (2003, 2007)
Advising & Grants:
Cox has advised numerous graduate students and has secured grants for research on electoral reform, legislative agendas, and historical political economy. His work often bridges theoretical and empirical analyses of political institutions.
Labs/Teams:
While no specific lab is named, Cox collaborates widely on projects analyzing legislative behavior and electoral systems through interdisciplinary teams.
