Organizers: Department of Applied Economics, School of Management at Fudan University

Co-organizer: Research Group of the subproject "Innovative Scientific Regulation for Anti-monopoly in the Digital Economy" under a Major Program of the National Natural Science Foundation of China

Time: Tuesday, April 28, 9:00 a.m.-12:00 p.m.

Venue: Guoshun Campus

Moderator: Professor Lingfang Li, Associate Head of the Department of Applied Economics

Agenda

9:00-9:10 a.m. Opening Remarks

Professor Pinliang Luo, Head of the Department of Applied Economics

9:10-10:00 a.m. Session 1: How Agent Skills Are Changing the Way Knowledge Workers Work

Speaker: Associate Professor Xueheng Li, Lingnan College, Sun Yat-sen University

10:00-10:50 a.m. Session 2: Research Paradigms in the AI Era: From Model Capability to Workflow Design

Speaker: Tenured Associate Professor Xuezhen Tao, School of Business, Shanghai University of Finance and Economics

10:50-11:10 a.m. Coffee Break

11:10 a.m.-12:00 noon Session 3: Human as Context

Speaker: Associate Professor Xiang Shao

Abstracts

1. How Agent Skills Are Changing the Way Knowledge Workers Work

Using AI applications in administration, research, and teaching as examples, this session will introduce the basic operations of Claude Code and the broader Agent Skills extension ecosystem. It will explain how the Skill mechanism can equip AI with stronger domain-specific capabilities, and will demonstrate application scenarios such as batch processing of administrative documents, one-click generation of high-quality teaching materials, and the building of AI-native literature knowledge bases and review systems. The session will show how the latest generation of AI agents, combined with Skills, is reshaping the way knowledge workers work.

2. Research Paradigms in the AI Era: From Model Capability to Workflow Design

The rapid evolution of large language models is transforming empirical research in economics and management. Yet differences in research quality often stem less from the models themselves than from workflow design. Building on this premise, and drawing on frontier cases such as APE fully automated paper production, the NBER literature knowledge base, and Auto_Research iterative experiments, this session introduces a core framework for agentic workflow design, including project constitutions, task decomposition, quality gates, and human checkpoints. It also examines the risk structure of fully automated research and discusses the renewed role of human cognitive advantages in the AI era, especially in causal inference, institutional judgment, and counterfactual evaluation. Designed for scholars and graduate students in economics and management with some experience using programming tools, the session aims to provide a practical and actionable approach to workflow design.

3. Human as Context

In an era of "massive knowledge compression," how should the value of the classroom be understood? As AI becomes capable of processing knowledge and general wisdom at high throughput, the uniqueness of human beings may lie increasingly in serving as higher-order providers of insight or as experiential sensors in real-world contexts. Accordingly, integrating disciplinary knowledge with students'lived experience may become one important direction for combining teaching with AI. Drawing on teaching experience in MBA courses beyond methodology-oriented subjects, the speaker will share practical explorations of AI-enabled teaching, including the redesign of case teaching with AI and guiding students to combine disciplinary knowledge with personal experience in developing AI applications. The session will also introduce explorations related to Memory and Harness Engineering, as well as practical suggestions for beginners getting started.

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Department of Applied Economics

School of Management, Fudan University

Research Group of the subproject "Innovative Scientific Regulation for Anti-monopoly in the Digital Economy" under a Major Program of the National Natural Science Foundation of China