EC'25 Workshop: Information Economics X Large Language Models

As the founder and organizer, we have successfully founded and organized the first ACM EC Workshop: Information Economics X Large Language Models at Stanford.

In an era of information explosion, the study of information, including how information is acquired, aggregated, and communicated, has never been more crucial. This workshop explores the interplay between Information Economics and Large Language Models (LLMs), focusing on how LLMs can enhance our ability to acquire, aggregate, and communicate information, and conversely, how the economic principles of information can optimize the training and usage of LLMs.

Researchers have studied information acquisition, aggregation, and communication through a mathematical lens. However, much real-world communication occurs through language, which has been difficult to analyze formally. The recent breakthroughs in generative AI, particularly LLMs, provide new opportunities to bridge this gap, enabling us to examine how language generation tools can contribute to the theoretical study of information.

Bringing together senior and junior researchers across diverse disciplines, including economics, computer science, and operations research, our workshop explored four topics at the intersection of information and LLMs:

• Information acquisition × LLM
• Information aggregation × LLM
• Information design × LLM
• Other topics on information economics × LLM

Through this interdisciplinary dialogue, we aim to push forward both the theoretical boundaries and real-world applications of information economics in the modern era. Check out the website for more information!