1st Semester 2025/26: Topics in Computational Social Choice
- Instructors
- Théo Delemazure and Ulle Endriss
- ECTS
- 6
- Description
The field of Computational Social Choice, located at the interface of Computer Science and AI with Mathematical Economics, deals with the design and analysis of fair and efficient methods for collective decision making, including democratic decision making. This project will, first, provide students with an introduction to the themes and methods of the field and, second, allow them to garner experience with conducting original research in this area. Our focus will be on topics in the theory of voting.
Interested students must register by emailing Ulle Endriss no later than 15 December 2025. The project will go ahead provided at least 8 students register.
- Organisation
Roughly one week will be devoted to introductory lectures and exercises, one week to student presentations of recent papers in the field, and two weeks to students working on an original paper (in small groups).
- Prerequisites
This project is intended for students in the final year of their Master’s who have already taken at least one related course (Game Theory or Algorithmic Game Theory). Students not in their final year should instead take the regular Computational Social Choice course, which we expect to offer again in November/December 2026. You cannot take both the project and the course (as there is too much overlap).
- Assessment
Exercises, presentations, final paper.
- References
Articles and book chapters, to be made available throughout the project period.
As an introduction to the field, consult the community website at comsoc-community.org and read Chapter 1 of the Handbook of Computational Social Choice.