Using Machine-Learning to Predict China’s Next Move

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 https://policychangeindex.org

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Hosted by Dan Runde, William A. Schreyer Chair and Director, Project on Prosperity and Development, Building the Future explores topics at the intersection of global development, foreign policy, and national security. In each episode, Dan sits down for a discussion with a leading expert from government, the private sector, and international organizations to discuss the challenges and opportunities facing the world today.