David Muchlinski

Greetings,

I am an Assistant Professor of International Affairs in the Sam Nunn School of International Affairs at Georgia Tech.

My research crosses the subfields of International Relations, Comparative Politics, and Political Methodology. I am a computational political scientist using Artificial Intelligence, Large Language Models, and machine learning to predict outbreaks of civil wars, secessionist conflict, and targeted mass killings and other atrocities. Theoretically, I focus on the debate between ethnic identities, grievances, and political opportunity structures to understand when and where conflict may erupt. Methodologically, I am interested in developing new measures of ethnic salience, state capacity, and conflict dynamics using novel sources of data including text, images, and audio.

My research has been published in leading journals in the field including the American Political Science Review, Journal of Peace Research, Political Analysis, Political Science Research and Methods, Journal of Conflict Resolution, and The Journal of Human Rights, as well as peer reviewed conference proceedings including Empirical Methods in Natural Language Processing and the Association for Computational Linguistics.

I teach courses on quantitative research methods, as well as political violence at both the graduate and undergraduate levels.

I am actively seeking qualified Political Science, Computer Science, and Engineering graduate students, as well as exceptional undergraduates, to assist me on various research projects.