معرفی
Shahryar Minhas is an Associate Professor at Michigan State University (MSU), affiliated with the Department of Political Science and the Social Science Data Analytics Program (SSDA). He holds a PhD in Political Science and an M.A. in Computational Economics from Duke University. His research focuses on political methodology, conflict studies, international institutions, network analysis, and data-driven approaches to political violence prediction.
Dr. Minhas’ work includes developing methodologies for analyzing complex networks in international relations, such as latent network structures and conflict dynamics. He has contributed to tools like the spduration R package for split-population duration models. His GitHub repositories reflect projects on regime classification, conflict evolution, and network-based approaches to political phenomena.
His research spans topics such as ICC involvement determinants, non-state media data collection, and foreign aid responses to crises. He emphasizes computational methods to address challenges in political science, including missing data imputation and spatial predictions of violence.
