Weifeng Zhong
Author Archive

Weifeng Zhong

Weifeng Zhong is a research fellow in economic policy studies at the American Enterprise Institute, where his research focuses on Chinese economic issues and political economy. His recent work has been on the application of text analyses and machine-learning techniques to political economy issues such as predicting policy changes in China, the US presidential election, and income inequality.

Dr. Zhong has been published in a variety of scholarly journals, including the Journal of Institutional and Theoretical Economics. In the popular press, his writings have appeared in the Financial Times, Foreign Affairs, The National Interest, and Real Clear Politics, among others.

Dr. Zhong has a Ph.D. and an M.Sc. in managerial economics and strategy from Northwestern University. He also holds M.Econ. and M.Phil. degrees in economics from the University of Hong Kong and a B.A. in business administration from Shantou University in China.

Artificial IntelligenceContributorsData NativesMachine Learning

A clever algorithm that has digested seven decades’ worth of articles in China’s state-run media is now ready to predict its future policies. The research design of this “crystal ball” can also be applied to tackling a variety of other problems. Supervised learning — the most developed form of Machine

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