Research Seminar
[Brown Bag] AI for Social Science: How Large Language Models Transform Research in Management by Prof. Ning Li, Tsinghua University
| Abstract: | Abstract: Recent advances in large language models (LLMs) are rapidly reshaping the research landscape in the social sciences. In this talk, I discuss how generative AI can augment multiple stages of the research process in management and related disciplines. In particular, I focus on how LLMs enable new approaches to data collection, coding, and judgment tasks that were traditionally performed by human evaluators. Drawing on emerging research, I will present two recent studies that illustrate how AI-assisted methods can improve both the scalability and precision of social science research. The talk also discusses methodological opportunities and limitations, as well as implications for the future of empirical research. |
| Date: | Apr 23 (Thu), 2026 2:00 pm - 3:30 pm |
| Time: | 2:00PM - 3:30PM |
| Venue: | LAU-14-222, Level 14, Lau Ming Wai Academic Building (LAU) |
| Details: | Speaker Bio: Dr. Ning Li is the Flextronics Chair Professor and Department Head of Leadership and Organization Management at the School of Economics and Management, Tsinghua University. Previously, he was a Full Professor at the University of Iowa's Tippie College of Business. As a Fellow of the Society for Industrial and Organizational Psychology (SIOP), Dr. Li's research focuses on AI and big data applications in organizational management, organizational network analysis, leadership, and innovation management. His accolades include the SIOP Early Career Scientific Contribution Award (2020), consecutive recognition as an Elsevier Highly Cited Researcher (2021-2023), and the Academy of Management Review Decade Award (2023). Currently, he serves as Associate Editor for Organizational Behavior and Human Decision Processes and Deputy Editor for Management and Organization Review. |
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