Algorithmic game theory

Algorithmic game theory

The need for research in algorithmic game theory is evident in the increasingly interconnected and diverse world we live in. As societies become more complex, capturing and aggregating collective preferences accurately is crucial for fair and representative decision-making. Simultaneously, the efficient allocation of limited resources is of paramount importance in various sectors, including healthcare, education, transportation, and environmental management.

The importance of this research lies in its potential to provide practical solutions to these pressing challenges.
  • 22 July — 26 July 2024

  • City University of Hong Kong

  • HK$3,000 (Includes accommodation)

  • Apply by 23 June 2024

  • Fully booked

What you'll study

Advanced models, algorithms, and mechanisms that optimise resource allocation, minimise inefficiencies, and satisfy fairness criteria by integrating concepts from social choice theory and mechanism design. The outcomes of these will inform evidence-based decision-making for equitable and efficient resource allocation. The course adopts an applied approach that combines theoretical insights with empirical analysis and real-world case studies to validate and refine the proposed models and mechanisms.

Who is the course for

Doctoral students and early career researchers.

If you have any enquiries about the course, please contact Zifan Gong by email at .

Course directors

Minming Li
Minming Li

Professor, Department of Computer Science, City University of Hong Kong

Hau Chan
Hau Chan

Assistant Professor, School of Computing, University of Nebraska-Lincoln

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