Professor of Political Science
Langche Zeng's research and teaching interests center on quantitative methods and their applications in diverse subfields in the political and social sciences. Her work has appeared in American Political Science Review, American Sociological Review, Political Analysis, Sociological Methods and Research, World Politics, International Studies Quarterly, International Organization, Statistics in Medicine, Journal of Statistical Software, Public Choice, Journal of Theoretical Politics, and elsewhere. She has also contributed several widely used public domain statistical software packages. Specific methodological topics explored in her work have included heterogeneity in discrete choice models; modeling of censored and sample selected data; neural networks for modeling relationships of unknown functional forms; computational modeling; methods and models for analyzing rare events data; methods for evaluating counterfactuals and improving causal inference; and graphical methods and models for causal effect identification and structural modeling. Substantive issues studied have included properties of voting rules; strategic voting behavior; congressional career decisions; international conflict and state failure; public's emotional response to terrorist attacks; social fragmentation and group relations; and medical statistics and public health. Zeng serves or has served on the editorial boards of American Journal of Political Science, American Political Science Review, International Studies Quarterly, and Political Analysis. A Fellow of the Society for Political Methodology, her research has been supported by the National Science Foundation and has won the Gosnell Prize for the best work in political methodology.
Ph.D. California Institute of Technology, 1993