Finance + AI · AI for Science · BUPT
A bilingual hub for the interdisciplinary course, intelligent financial report analysis projects, AI4S research outputs and long-term updates.
6+
Publications & Book
4
Core Students
3
Technology Tracks
2025-2027
AI4S Project Cycle
Highlights
Representative papers, book chapters and conference outputs extracted from the project materials.
Fei Li, Co-authors · AOM 2026, the 86th Annual Meeting of the Academy of Management
Accepted by AOM 2026, this paper studies firm antifragility under technological decoupling shocks from the perspective of knowledge network structure.
李飞等 · Chinese Journal of Management
The paper develops a scale-efficiency trade-off framework to explain how firms dynamically adapt knowledge networks across cycles under industrial technological change.
李飞等 · The 17th China Youth Innovation Forum
This study examines how network resilience affects total factor productivity under technology decoupling shocks and identifies path breakthrough as a mediating mechanism.
Updates
Research, course and project milestones are maintained in Markdown files and published automatically.
2026-07-31
The paper Knowledge Network Structure and Firm Antifragility under Technological Decoupling Shocks was accepted by the 86th Academy of Management Annual Meeting.
2026-04-08
By April 2026, the project had completed the main first-year objectives across theory, algorithms, data, models, teaching cases and research outputs.
2025-12-14
The team presented the project background, research questions, core models and progress at an AI4S monthly exchange.
Team
Course Lead | Associate Professor | PhD Supervisor
Professor
Professor