Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Weifeng Zhong

Weifeng Zhong
Research Fellow in Economic Policy Studies, American Enterprise Institute


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-analytic and machine-learning techniques to political economy issues such as the US presidential election, income inequality, and predicting policy changes in China. He 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. He 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.


17:2518:05 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Secondary topics:  Text and Language processing and analysis
Weifeng Zhong (American Enterprise Institute)
We developed a machine learning algorithm to “read” the People’s Daily — the official newspaper of the Communist Party of China — and predict changes in China’s policy priorities using only the information in the newspaper. The output of this algorithm, which we call the Policy Change Index (PCI) of China, turns out to be a leading indicator of the actual policy changes in China since 1951. Read more.