Wenyi Shang earned his Ph.D. in Information Sciences from the University of Illinois Urbana-Champaign, and his bachelor’s degree in information management from Peking University, China.
   
His research uses computational methods to study the development of human society. He has made contributions to digital humanities and computational social science, using the perspective of information science to inform and guide methodological reflection in both fields.
   
Methodologically, he has employed network analysis to investigate social structures and transformations in political culture in premodern Chinese societies. He has also used text mining to uncover new insights into literary history, revealing the valuable perspectives that literary texts offer concerning cultural changes in human society. Both methods often intersect with machine learning models. Additionally, his work involves exploring bibliographic metadata to examine the opportunities and challenges it presents.

Areas of Expertise

• Digital Humanities
• Computational Social Science
• Machine Learning
• Text Mining
• Network Analysis
• Digital Libraries
• Bibliographic Metadata
• Book History and Print Culture