How to Model Science in Economics
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.
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.
Lecturer
Date
31st August ~ 24th December, 2026
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Wednesday | 09:50 - 12:15 | A14-203 | ZOOM 12 | 815 762 8413 | BIMSA |
Audience
Graduate
, Postdoc
, Researcher
Video Public
No
Notes Public
No
Language
Chinese
Lecturer Intro
Dongbo Shi's research combines economic theory and causal evidence to explore the knowledge production function and design more effective policies. His research topics range from immigrant scientists and contract design in academia to innovation-driven entrepreneurship ecosystems and their geographic distribution. He received his Ph.D. in Public Policy from Tsinghua University in 2016. He holds a BS in Applied Mathematics and Applied Physics from the Talent Program of Tsinghua University.