This course is at the interplay of economics and computer science that utilizes computational techniques to operationalize economic problems. This course starts with two scaffolding sessions that introduce important research questions at the intersection of computer science and economics and the basic techniques from computer science. Then we study the theory and application of game theory, algorithmic game theory, social choice, and mechanism design. Game Theory includes formalizing the strategic environment in normal or strategic form and solution concepts of equilibrium. Algorithmic Game Theory designs algorithms to simulate the strategic environment and solve for equilibrium by programming. Social Choice and Mechanism Design study how to design mechanisms to achieve desirable outcomes specified by social choice functions. Finally, we study two application scenarios of game theory and mechanism design: Auction and Voting. Instructor: Dr. Luyao Zhang, Assistant Professor of Economics at Social Science Division and Senior Research Scientist at Data Science Research Center, Duke Kunshan University.
Part of Industry 4.0 Open Educational Resource Publication Initiatives:
Series No. 3: Computational Economics: https://ce.pubpub.org/
Other Issues in the Series:
Series No. 1: Innovate on the Internet Computer: https://ic.pubpub.org/
Series No. 2: Intelligent Economics: An Explainable AI Approach: https://ie.pubpub.org/
Created collaboratively of the community, by the community, and for the community
A call for collaborations among university faculties, students, staff, and beyond
Luyao is forever indebted to the pioneers at the intersection of computer science and economics including Nobel Laureate in Economics and Turing Award winner Herbert A. Simon, Prof. Tim Roughgarden, Prof. Vincent Conitzer, Prof. Xiaotie Deng, Prof. Christos Papadimitrious, Prof. Pinyan Lu, Prof. Yiling Chen, Prof. Jeffrey Wooldridge, and those on the research and applications of blockchain including Prof. Dan Boneh, Prof. Campbell Harvey, Prof. Ari Juels, Prof. Bill Roscoe, Prof. Dawn Song, Prof. Lin Will Cong, Prof. Neng Wang, Prof. Roger Wattenhofer, Prof. Joshua Gans, Prof. Elaine Shi, and more. (in random order)
This project is partly supported by Duke Learning Innovation Center and DKU Center for Teaching and Learning under the Carrying the Innovation Forward program
The Spring 2022 collection is partly supported by the Social Science Divisional Chair’s Discretionary Fund to encourage faculty engagement in undergraduate research and enhance student-faculty scholarly interactions outside of the classroom. The division chair is Prof. Keping Wu, Associate Professor of Anthropology at Duke Kunshan University. And the supported students include Teaching/Research Assistants, Xinyu Tian and Tianyu Wu, Zesen Zhuang at Duke Kunshan University, and Yinhong Zhao, Xinshi Ma, Zepu Shen at Duke University.
Xinyu Tian, Data Science, Class of 2023, Duke Kunshan University
Tianyu Wu, Applied Mathematics and Computational Science, Class of 2023, Duke Kunshan University
Zesen Zhuang, Data Science, Class of 2023, Duke Kunshan University
Yinhong Zhao, B.S. in Economics, B.S. in Math, Duke University
Xinshi Ma, B.S. Statistics with Data Science Concentration, B.S. Economics with Finance Concentration, Minor in Math, Duke University
Zepu Shen, B.S. in Computer Science, Duke University
We thank Prof. William Parsons and Prof. Liguo Zhang for their guidance in proposing the initial syllabus of “COMPSCI/Econ 206: Computational Microeconomics” for the undergraduate curriculum at Duke Kunshan University and the further development of the course.
Prof. William Parsons, Associate Dean of Undergraduate Curricular Affairs, Duke Kunshan University
Prof. Liguo Zhang, Academic Dean, Duke Kunshan University
We appreciate the Ethereum Foundation for hosting an intellectual feast around blockchain at ETHconomics @ Devconnect 2022 and release all documentaries as open resources.