Igor Grossmann explores advancements in analytical and cross-temporal methods and how these methods can help us understand and predict societal and cultural change.
Philip Schrodt discusses developments and challenges in predicting political and social behaviour, and the importance of transparency in the political data science sphere.
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.
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