Machine Learning in Political Research

Political Methodology

Quantitative

Artificial Intelligence

Code:

P335

Chair(s)

Theodore Chadjipadelis

Aristotle University of Thessaloniki

Section Methods in Motion: Adapting Political Research Methods to Evolving Realities

This panel brings together papers focusing on the application of machine learning approaches to political research

Title	Details
The Straw that Broke the Camel’s Back: Separating Close Calls from True Onsets in Conflict Prediction	View Paper Details
Expert- And LLM-Generated Data Inputs for the Prediction of Public Policies	View Paper Details