北京雁栖湖应用数学研究院

This course aims to integrate empirical research in the economics of science with insights from related fields such as the sociology of science. It explores established and potential economic models that help explain key aspects of the scientific research process, including funding allocation, incentive design, and talent’ selection.
This course focuses on theoretical modeling in the economics of science. Given the fragmented nature of existing models, we will cover a wide range of approaches—including mechanism design in microeconomics, endogenous growth in macroeconomics, and discrete choice modeling. Despite this diversity, the central theme remains consistent: utilizing economic models to comprehend the observed characteristics of scientific research.