Eric Min

Eric Min is an Assistant Professor of Political Science at the University of California, Los Angeles (UCLA), affiliated with the College of Letters and Science. His research focuses on interstate diplomacy, crisis information dynamics, and applying machine learning to declassified conflict documents. He holds a B.A. in International Relations from New York University (valedictorian of the College of Arts and Science) and a Ph.D. in Political Science from Stanford University. He previously served as a Zukerman Postdoctoral Fellow in Social Sciences at CISAC. His work has been recognized with the 2018 Kenneth Waltz Prize for his dissertation, now being expanded into a book manuscript on wartime negotiations. Key areas of expertise include conflict negotiation theory, coalition diplomacy, and quantitative analysis of military and political data.

• Education:
  • B.A., International Relations, New York University (valedictorian)
  • Ph.D., Political Science, Stanford University

His research interests bridge international relations and computational methods, emphasizing how states communicate during crises and the strategic use of negotiation amid warfare. He develops novel datasets to quantify diplomatic behavior, such as the Interstate War Battle Dataset (1823–2003) and analyses of battlefield dynamics' impact on diplomatic strategies. Recent work explores racial tropes in foreign policy bureaucracies and adviser influence in decision-making.

Publications span topics from autocratic regimes to terrorist attack attribution, showcasing a focus on quantitative rigor and real-world policy relevance. His scholarship integrates big data techniques with traditional political theory, yielding insights into conflict resolution mechanisms and international security.

• Awards:
  • 2018 Kenneth Waltz Prize (APSA International Security Section)

Grants and lab affiliations are not explicitly detailed in the provided text, but his work suggests engagement with computational social science tools and interdisciplinary research teams.