Machine Learning
Interview – Igor Grossmann
Igor Grossmann explores advancements in analytical and cross-temporal methods and how these methods can help us understand and predict societal and cultural change.
Interview – Philip Schrodt
Philip Schrodt discusses developments and challenges in predicting political and social behaviour, and the importance of transparency in the political data science sphere.
Interview – Andrew Halterman
Andrew Halterman discusses how natural language processing can be used as a tool to transform the study of IR, and the role of machine learning in political science.
