معرفی
Joan Timoneda is an Assistant Professor in the Department of Political Science at Purdue University. His research focuses on authoritarian regimes, democratic backsliding, and the application of big data methods and natural language processing (NLP) to political analysis. He holds a PhD from the University of Maryland, a MPhil from the University of Oxford, and a B.A. from Arizona State University.
Timoneda’s work explores how dictators consolidate power through institutional reforms, particularly in the context of crises, and examines the role of digital tools like Twitter and Google Trends in forecasting political events such as protests. He is a core member of the Advanced Methods at Purdue program and teaches courses in political methodology, comparative politics, and democracy.
His research interests include comparative politics, quantitative methods, and data science. Key projects analyze the evolution of personalist dictatorships (e.g., Rafael Trujillo’s regime in the Dominican Republic) and the impact of economic inequality on authoritarian transitions. Timoneda also develops innovative NLP techniques to classify discourse patterns and detect bias in GPT models.
Recent publications highlight his interdisciplinary approach, spanning topics like protest prediction, authoritarian replacement dynamics, and the performance of transformer models in political text analysis. His work bridges empirical political science with cutting-edge computational methods.
Current projects include studies on racism detection in texts, the impact of economic shocks on dictatorships, and the role of social media in democratic erosion. He collaborates with institutions like Duke University and the University of Oxford, contributing to global research networks in political methodology and authoritarianism.
