Shanghai University of Finance and Economics Tao Xuezhen: Research Paradigms in the AI Era — From Model Capabilities to Workflow Design
October 21, 2026
Topic:Research Paradigms in the AI Era: From Model Capabilities to Workflow Design
Speaker:Associate Professor Tao Xuezhen, School of Business, Shanghai University of Finance and Economics
Moderator:Professor Yu Jianyu, Institute of Economic and Management, Southwestern University of Finance and Economics
Time:October 22 (Thursday), 14:00-16:00
Venue:Room 1211, Gezhi Building, Liulin Campus, Southwestern University of Finance and Economics
Organizer:Institute of Economic and Management
Speaker's Biography:
Tao Xuezhen is an Associate Professor of Economics at the School of Business, Shanghai University of Finance and Economics. His research focuses on empirical industrial organization and quantitative marketing analysis. His current work examines the collaborative transmission of private information in market environments and the extent of innovation diffusion under downstream competition, particularly in the medical device market.
Abstract:
Large language models are transforming the way economic research and teaching are conducted. This lecture, drawing on the speaker's practical experience, introduces how to effectively integrate AI into daily academic work.
The lecture begins by explaining the writing of prompts and the setting of context and rules, helping researchers to communicate efficiently and accurately with the models. It then covers the selection of models, the framework for running intelligent agents, and the use of AI Integrated Development Environments (IDEs) to guide the setup of a smooth AI working environment. The speaker will share personal practices and self-built tools for revising manuscripts, providing feedback, and accumulating materials, demonstrating specific pathways for AI-assisted academic writing and data organization. Finally, the lecture will demonstrate how to use large language models to construct economic variables from text and assess their reliability, offering new measurement methods for empirical research.
