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Vincent Conitzer, Kimberly J. Jenkins Distinguished University Professor of New Technologies and Computer Science and Philosophy

Vincent Conitzer

Please note: Vincent has left the "Economics" group at Duke University; some info here might not be up to date.

Contact Info:
Office Location:  LSRC D207, Durham, NC 27708
Email Address: send me a message
Web Page:


Microeconomic Theory
Computational Economics
Research Interests: (Computational aspects of) game theory, mechanism design, social choice theory, auctions and exchanges, electronic commerce

Professor Vincent Conitzer's research focuses on issues in the intersection of computer science (especially artificial intelligence) and economics. This includes the design of new marketplaces and other negotiation protocols that allow humans and software agents to express their preferences naturally and accurately, and that generate good outcomes based on these preferences. It also includes the design of software agents that can act strategically in settings where multiple parties all pursue their own interests. This requires the use of concepts from game theory, as well as operationalizing these concepts by finding efficient algorithms for computing the corresponding solutions. Finally, his research includes the study of all settings in computer science in which multiple parties will act in their own self-interest, as well as the design of incentive mechanisms to reach good outcomes in spite of such behavior.


intersection of computer science and economics • game theory • mechanism design • electronic commerce • artificial intelligence • multiagent systems • auctions & exchanges • public goods & externalities • expressive markets/negotiation • preference elicitation • coalition formation • voting • resource-bounded reasoning • learning in games • computational & communication complexity • game playing • optimization • search • machine learning

Curriculum Vitae  Bio
Recent Publications   (More Publications)

  1. Afnan, M; Afnan, MAM; Liu, Y; Savulescu, J; Mishra, A; Conitzer, V; Rudin, C, Data solidarity for machine learning for embryo selection: a call for the creation of an open access repository of embryo data., Reproductive Biomedicine Online, vol. 45 no. 1 (July, 2022), pp. 10-13 [doi]  [abs]
  2. Awad, E; Levine, S; Anderson, M; Anderson, SL; Conitzer, V; Crockett, MJ; Everett, JAC; Evgeniou, T; Gopnik, A; Jamison, JC; Kim, TW; Liao, SM; Meyer, MN; Mikhail, J; Opoku-Agyemang, K; Borg, JS; Schroeder, J; Sinnott-Armstrong, W; Slavkovik, M; Tenenbaum, JB, Computational ethics., Trends in Cognitive Sciences, vol. 26 no. 5 (May, 2022), pp. 388-405 [doi]  [abs]
  3. Chan, L; Schaich Borg, J; Conitzer, V; Wilkinson, D; Savulescu, J; Zohny, H; Sinnott-Armstrong, W, Which features of patients are morally relevant in ventilator triage? A survey of the UK public., Bmc Medical Ethics, vol. 23 no. 1 (March, 2022), pp. 33 [doi]  [abs]
  4. Conitzer, V; Kroer, C; Sodomka, E; Stier-Moses, NE, Multiplicative Pacing Equilibria in Auction Markets, Operations Research, vol. 70 no. 2 (March, 2022), pp. 963-989 [doi]  [abs]
  5. Albert, M; Conitzer, V; Lopomo, G; Stone, P, Mechanism Design for Correlated Valuations: Efficient Methods for Revenue Maximization, Operations Research, vol. 70 no. 1 (January, 2022), pp. 562-584, Institute for Operations Research and the Management Sciences (INFORMS) [doi]  [abs]

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