Using Machine-Learning to Predict China’s Next Move

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In this episode of Building the Future, Dan is joined by Dr. Weifeng Zhong, Senior Research Fellow at the Mercatus Center at George Mason University. They discuss Dr. Zhong’s work in developing the open source Policy Change Index (PCI) project, which leverages machine learning to analyze vast quantities of propaganda and predict Chinese policy changes. The two focus on PCI-China and PCI-Crackdown, two China specific PCI applications, discuss what might be next for China in the coming twenty years, and imagine the potential impact of U.S. educated elites assuming leadership roles in China. The Policy Change Index can be found at
Daniel F. Runde
Senior Vice President; William A. Schreyer Chair; Director, Project on Prosperity and Development