Bei Yan

Bei Yan is an Assistant Professor at the School of Business, Stevens Institute of Technology. His research focuses on technology-supported collaboration and influence processes in groups, including human-machine teaming with intelligent personal assistants and large-scale crowdsourcing communities. He employs experimental methods and computational analysis of big data to study collective intelligence and network structures. Previously, he served as a Project Scientist at the University of California, Santa Barbara.

Education:

• PhD in Communication (2018), University of Southern California
• MA in Global Communication (2012), University of Southern California
• MS in Global Media and Communications (2011), London School of Economics
• BS in Marketing Management (2010), Renmin University of China

Research Interests: Key areas include:

• Human-AI collaboration dynamics
• Crowdsourcing and collective intelligence
• Network analysis of social influence and polarization
• Big data/text mining applications

Recent Work Trends: Recent studies emphasize the role of AI in team decision-making, crisis communication networks, and semantic analysis of political polarization. His work bridges communication studies, social psychology, and computational methods.

Awards:

• Best Paper Award (AOM 2023)
• Best Paper Award (AOM 2020)
• Dennis Gouran Research Award (2020)
• Top Paper Award (Global Cultural Industries 2019)

Grants & Funding:

• NSF CRII Early Career Award ($221,000, 2021-2024)
• USC Research Enhancement Fellowship (2017-2018)
• Annenberg Graduate Fellowship (2012-2013)

Labs & Teams: Active in interdisciplinary research groups focusing on computational social science and human-AI interaction. Collaborates with institutions like the University of California and the London School of Economics.