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Technical University of Munich
Technical University of Munich

Chris Dong

E-Mail: chris.dong@tum.de
Phone: +49 (0) 89 289 - 17514
Fax: +49 (0) 89 289 - 17535

Office: Room 01.10.039
Boltzmannstr. 3
85748 Munich, Germany

Hours: by arrangement

Short Bio

Since October 2021, I have been a Ph.D. student in the group of Felix Brandt as part of the TopMath program of the ENB. There, I am currently the graduate student representative. I received my bachelor's (2019) and my master's degree (2021) at the Technical University of Munich. My research interests include various topics in social choice theory.

Publications

M. Bullinger, C. Dong, P. Lederer, and C. Mehler. Participation incentives in approval-based committee elections. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. Forthcoming. [ pdf ]

C. Dong and P. Lederer. Refined characterizations of approval-based committee scoring rules. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. Forthcoming. [ pdf ]

F. Brandt and C. Dong. On locally rationalizable social choice functions. 2024. Working paper. [ pdf ]

C. Dong and P. Lederer. Characterizations of sequential valuation rules. In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pages 1697–1705, 2023. [ link | pdf | venue ]

C. Dong. Local rationalizability and choice consistency. Master's thesis, Technical University of Munich, 2021. [ pdf ]

Teaching

Courses

  • Computational Social Choice (WS 2021/2022)
  • Seminar on Economics and Computation (SS 2022)
  • Seminar on Markets, Algorithms, Incentives, and Networks (WS 2022/2023)

Community Service

Refereeing Journals
Refereeing Conferences

Scholarships and Awards

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