Abstract
In many practical situations when we need to select the best submission—the best paper, the best candidate, etc.—there are so few experts that we cannot simply dismiss all the experts who have conflict of interest: we do not want them to judge their own submissions, but we would like to take into account their opinions of all other submissions. How can we take these opinions into account? In this paper, we show that a seemingly reasonable idea can actually lead to bias, and we explain how to take these opinions into account without biasing the final decision.
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References
D. Koepsell, Scientific Integrity and Research Ethics: An Approach from the Ethos of Science (Springer, 2017)
D.B. Resnik, Institutional conflicts of interest in academic research. Sci. Eng. Ethics 25(6), 1661–1669 (2019)
Acknowledgements
This work was supported in part by the National Science Foundation grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science), and HRD-1834620 and HRD-2034030 (CAHSI Includes), and by the AT&T Fellowship in Information Technology.
It was also supported by the program of the development of the Scientific-Educational Mathematical Center of Volga Federal District No. 075-02-2020-1478, and by a grant from the Hungarian National Research, Development and Innovation Office (NRDI).
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Kosheleva, O., Kreinovich, V. (2023). How to Deal with Conflict of Interest Situations When Selecting the Best Submission. In: Ceberio, M., Kreinovich, V. (eds) Uncertainty, Constraints, and Decision Making. Studies in Systems, Decision and Control, vol 484. Springer, Cham. https://doi.org/10.1007/978-3-031-36394-8_43
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DOI: https://doi.org/10.1007/978-3-031-36394-8_43
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