Machine Learning Methods for Political Science

Artificial intelligence (AI) is reshaping a wide range of fields, including scientific research. In political science, machine-learning methods—including clustering, deep learning, and related approaches—are increasingly used to explore, classify, and analyse political data.

This panel invites papers that apply AI and machine-learning methods to substantive questions in political science. We also welcome contributions that examine the methodological, theoretical, and ethical implications of using these approaches in political research. The panel aims to bring together innovative empirical applications and critical reflections on how AI is changing the production of political-science knowledge.