
Qijun Wang
I study the responsible use of large language models in social science, especially how synthetic data can be applied in social science and how LLMs can help foster cooperation among diverse groups for a better future.
Visiting PhD student
- Twitter: @wangqijun6
- E-mail: chemwangqj@gmail.com
Qijun is a visiting PhD student at Sciences Po. After obtaining his bachelor's degree in chemistry and finance, he joined the School of Management at Zhejiang University, where he studied experimental economics and computational psychology. Since the end of 2022, he shifted his research focus to the responsible use of large language models (LLMs, such as GPT, Gemini and Deepseek) in the social sciences.
At the médialab, he explores the feasibility and plausibility of using LLMs to promote mutual understanding and cooperation, and to mitigate out-group hostility among people from different backgrounds. His research aims to generate both theoretical insights and practical implications. In his recent project, he conducted a large-scale virtual survey using LLMs to elicit economic preferences across 74 countries, benchmarked against human responses to examine the scope conditions under which LLM-generated synthetic data can be informative.