World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
66
Citations
14134
World Ranking
1441
National Ranking
473

Research.com Recognitions

  • 2019 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the advancement of artificial intelligence through integration with economics and philosophy, including game theory, mechanism design, social choice, and ethics.
  • 2019 - ACM Fellow For contributions to game theory, social choice theory, and mechanism design
  • 2015 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2008 - Fellow of Alfred P. Sloan Foundation

Overview

Vincent Conitzer is affiliated with Carnegie Mellon University in the United States. Their research spans multiple fields and subfields, predominantly in decision sciences and computer science. Key subfields of study include management science and operations research, economics and econometrics, artificial intelligence, computer networks and communications, and information systems.

The scientist's work extensively covers several main topics related to game theory and its applications. These topics include:

  • Auction Theory and Applications
  • Game Theory and Applications
  • Game Theory and Voting Systems
  • Optimization and Search Problems
  • Law, Economics, and Judicial Systems
  • Expert Finding and Q&A Systems
  • Ethics and Social Impacts of AI

Vincent Conitzer has published research in a variety of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • ACM SIGecom Exchanges
  • Operations Research

Recent papers authored or co-authored by Vincent Conitzer include:

  • "Interpretable, not black-box, artificial intelligence should be used for embryo selection" (2021), published in Human Reproduction Open
  • "Adapting a kidney exchange algorithm to align with human values" (2020), published in Artificial Intelligence
  • "Computational ethics" (2022), published in Trends in Cognitive Sciences
  • "Computing Optimal Strategies to Commit to in Stochastic Games" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments" (2020), published on arXiv (Cornell University)

Frequent collaborators with whom Vincent Conitzer has published include Caspar Oesterheld, Walter Sinnott-Armstrong, Hanrui Zhang, Jana Schaich Borg, and Emanuel Tewolde.

Among the awards received, Vincent Conitzer has been recognized as an ACM Fellow (2019) for contributions to game theory, social choice theory, and mechanism design. In the same year, they were named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for substantial work integrating artificial intelligence with economics and philosophy. Other fellowships include those from the John Simon Guggenheim Memorial Foundation (2015) and the Alfred P. Sloan Foundation (2008).

Best Publications

  • Handbook of Computational Social Choice

    Felix Brandt;Vincent Conitzer;Ulle Endriss;Jérôme Lang;Jérôme Lang

  • Computing the optimal strategy to commit to

    Vincent Conitzer;Tuomas Sandholm

  • When are elections with few candidates hard to manipulate

    Vincent Conitzer;Tuomas Sandholm;Jérôme Lang

  • New complexity results about Nash equilibria

    Vincent Conitzer;Tuomas W Sandholm

  • Complexity of mechanism design

    Vincent Conitzer;Tuomas Sandholm

  • Stackelberg vs. Nash in security games: an extended investigation of interchangeability, equivalence, and uniqueness

    Dmytro Korzhyk;Zhengyu Yin;Christopher Kiekintveld;Vincent Conitzer

  • Complexity results about Nash equilibria

    Vincent Conitzer;Tüomas Sandholm

  • AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents

    Vincent Conitzer;Tuomas Sandholm

  • Determining possible and necessary winners under common voting rules given partial orders

    Lirong Xia;Vincent Conitzer

  • Justified representation in approval-based committee voting

    Haris Aziz;Markus Brill;Vincent Conitzer;Edith Elkind

  • Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases

    Vincent Conitzer;Curtis R. Taylor;Liad Wagman

  • A double oracle algorithm for zero-sum security games on graphs

    Manish Jain;Dmytro Korzhyk;Ondřej Vaněk;Vincent Conitzer

  • Complexity of computing optimal stackelberg strategies in security resource allocation games

    Dmytro Korzhyk;Vincent Conitzer;Ronald Parr

  • Improved bounds for computing Kemeny rankings

    Vincent Conitzer;Andrew Davenport;Jayant Kalagnanam

  • Communication complexity of common voting rules

    Vincent Conitzer;Tuomas Sandholm

  • Complexity of constructing solutions in the core based on synergies among coalitions

    Vincent Conitzer;Tuomas Sandholm

  • Common voting rules as maximum likelihood estimators

    Vincent Conitzer;Tuomas Sandholm

  • Moral decision making frameworks for artificial intelligence

    Vincent Conitzer;Walter Sinnott-Armstrong;Jana Schaich Borg;Yuan Deng

  • Mixed-integer programming methods for finding Nash equilibria

    Thomas Sandholm;Andrew Gilpin;Vincent Conitzer

  • Preference functions that score rankings and maximum likelihood estimation

    Vincent Conitzer;Matthew Rognlie;Lirong Xia

  • Computing shapley values, manipulating value division schemes, and checking core membership in multi-issue domains

    Vincent Conitzer;Tuomas Sandholm

Frequent Co-Authors

Tuomas Sandholm
Tuomas Sandholm Carnegie Mellon University
Lirong Xia
Lirong Xia Rutgers, The State University of New Jersey
Makoto Yokoo
Makoto Yokoo Kyushu University
Jérôme Lang
Jérôme Lang Paris Dauphine University
David C. Parkes
David C. Parkes Harvard University
Ronald Parr
Ronald Parr Duke University
Milind Tambe
Milind Tambe Harvard University
Subhash Suri
Subhash Suri University of California, Santa Barbara
Ariel D. Procaccia
Ariel D. Procaccia Harvard University

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