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Dr. Moran Koren obtained his Ph.D. in Industrial Engineering and Management from the Technion in 2019, where he explored dynamic decision-making and game theory under the guidance of Prof. Rann Smorodinsky and Prof. Itai Arieli. Following his doctorate, he advanced his research as a Fulbright Scholar at Stanford and through fellowships at Harvard and Tel Aviv University.

Since 2022, Dr. Koren has been a Lecturer in Industrial Engineering and Management at Ben-Gurion University. His work focuses on economic analysis, game theory, and decision-making under uncertainty, blending theoretical insights with practical applications to design efficient and fair allocation systems.

List of Publications

Journal Articles​​

  • Koren M. (2024). "The Gatekeeper’s Effect." Management Science. Accepted. DOI: 10.1287/mnsc.2021.03918

  • Arieli I., Koren M., and Smorodinsky R. (2023). "Information Aggregation in Large Collective Purchases." Economic Theory, 1-51. DOI: 10.1007/s00199-023-01525-w

  • Cohen A., Deligkas A., and Koren M. (2023). "Learning Approximately Optimal Contracts." Theoretical Computer Science, 980, 114219. DOI: 10.1016/j.tcs.2022.114219

  • I. Arieli, M.Koren, and R. Smorodinsky “The Implication of Pricing on Social Learning,” Theoretical Economics, 17.4, 1761–1802, 2022 (EC’19).

  • Mueller-Frank M., and Koren M. (2022). "The Welfare Costs of Informationally Efficient Prices." Games and Economic Behavior, 131, 186-196. DOI: 10.1016/j.geb.2021.11.014

Conference Proceedings​

  • Horowitz G., Sommer Y., Koren M., and Rosenfeld N. (2024). "Classification Under Strategic Self-Selection." Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2024).

  • Cohen A., Koren M., and Deligkas A. (2022). "Learning Approximately Optimal Contracts." Algorithmic Game Theory (SAGT 2022), Lecture Notes in Computer Science, vol. 13584, Springer, Cham. DOI: 10.1007/978-3-031-15714-1_19

  • Kang J., Monachou F., Koren M., and Ashlagi I. (2021). "Counterbalancing Learning and Strategic Incentives in Allocation Markets." Proceedings of the Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS 2021).

  • Ban A., and Koren M. (2020). "Sequential Fundraising and Social Insurance." Proceedings of the 2020 ACM Conference on Economics and Computation (EC '20).

  • Jakesch M., Koren M., Evtushenko A., and Naaman M. (2020). "How Partisan Crowds Affect News Evaluation." Proceedings of the 2020 Conference for Truth and Trust Online (TTO2020).

  • Arieli I., Koren M., and Smorodinsky R. (2019). "The Implication of Pricing on Social Learning." Proceedings of the ACM Conference on Economics and Computation (EC '19).

  • Arieli I., Koren M., and Smorodinsky R. (2018). "The One-Shot Crowdfunding Game." Proceedings of the ACM Conference on Economics and Computation (EC '18).

  • Arieli I., Koren M., and Smorodinsky R. (2017). "The Crowdfunding Game." Proceedings of the Web and Internet Economics (WINE 2017).

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