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The peer review game: an agent-based model of scientists facing resource constraints and institutional pressures

Author

Listed:
  • Federico Bianchi

    (University of Brescia)

  • Francisco Grimaldo

    (University of Valencia)

  • Giangiacomo Bravo

    (Linnaeus University)

  • Flaminio Squazzoni

    (University of Brescia)

Abstract

This paper looks at peer review as a cooperation dilemma through a game-theory framework. We built an agent-based model to estimate how much the quality of peer review is influenced by different resource allocation strategies followed by scientists dealing with multiple tasks, i.e., publishing and reviewing. We assumed that scientists were sensitive to acceptance or rejection of their manuscripts and the fairness of peer review to which they were exposed before reviewing. We also assumed that they could be realistic or excessively over-confident about the quality of their manuscripts when reviewing. Furthermore, we assumed they could be sensitive to competitive pressures provided by the institutional context in which they were embedded. Results showed that the bias and quality of publications greatly depend on reviewer motivations but also that context pressures can have a negative effect. However, while excessive competition can be detrimental to minimising publication bias, a certain level of competition is instrumental to ensure the high quality of publication especially when scientists accept reviewing for reciprocity motives.

Suggested Citation

  • Federico Bianchi & Francisco Grimaldo & Giangiacomo Bravo & Flaminio Squazzoni, 2018. "The peer review game: an agent-based model of scientists facing resource constraints and institutional pressures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1401-1420, September.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:3:d:10.1007_s11192-018-2825-4
    DOI: 10.1007/s11192-018-2825-4
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    References listed on IDEAS

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    1. Squazzoni, Flaminio & Bravo, Giangiacomo & Takács, Károly, 2013. "Does incentive provision increase the quality of peer review? An experimental study," Research Policy, Elsevier, vol. 42(1), pages 287-294.
    2. Flaminio Squazzoni & Károly Takács, 2011. "Social Simulation That 'Peers into Peer Review'," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-3.
    3. Mario Paolucci & Francisco Grimaldo, 2014. "Mechanism change in a simulation of peer review: from junk support to elitism," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 663-688, June.
    4. Michail Kovanis & Raphaël Porcher & Philippe Ravaud & Ludovic Trinquart, 2016. "The Global Burden of Journal Peer Review in the Biomedical Literature: Strong Imbalance in the Collective Enterprise," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    5. S. Thurner & R. Hanel, 2011. "Peer-review in a world with rational scientists: Toward selection of the average," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 84(4), pages 707-711, December.
    6. Dominic D. P. Johnson & James H. Fowler, 2011. "The evolution of overconfidence," Nature, Nature, vol. 477(7364), pages 317-320, September.
    7. Flaminio Squazzoni & Claudio Gandelli, 2013. "Opening the Black-Box of Peer Review: An Agent-Based Model of Scientist Behaviour," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-3.
    8. Emre Sarigöl & David Garcia & Ingo Scholtes & Frank Schweitzer, 2017. "Quantifying the effect of editor–author relations on manuscript handling times," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 609-631, October.
    9. Simone Righi & Károly Takács, 2017. "The miracle of peer review and development in science: an agent-based model," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 587-607, October.
    10. Jeffrey T Leek & Margaret A Taub & Fernando J Pineda, 2011. "Cooperation between Referees and Authors Increases Peer Review Accuracy," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-11, November.
    11. Giangiacomo Bravo & Flaminio Squazzoni, 2013. "Exit, Punishment and Rewards in Commons Dilemmas: An Experimental Study," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
    12. Daniele Fanelli, 2010. "Do Pressures to Publish Increase Scientists' Bias? An Empirical Support from US States Data," PLOS ONE, Public Library of Science, vol. 5(4), pages 1-7, April.
    13. Fehr, Ernst & Schmidt, Klaus M., 2006. "The Economics of Fairness, Reciprocity and Altruism - Experimental Evidence and New Theories," Handbook on the Economics of Giving, Reciprocity and Altruism, in: S. Kolm & Jean Mercier Ythier (ed.), Handbook of the Economics of Giving, Altruism and Reciprocity, edition 1, volume 1, chapter 8, pages 615-691, Elsevier.
    14. Squazzoni, Flaminio & Gandelli, Claudio, 2012. "Saint Matthew strikes again: An agent-based model of peer review and the scientific community structure," Journal of Informetrics, Elsevier, vol. 6(2), pages 265-275.
    15. Judit Bar-Ilan & Gali Halevi, 2017. "Post retraction citations in context: a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 547-565, October.
    16. Bravo, Giangiacomo & Farjam, Mike & Grimaldo Moreno, Francisco & Birukou, Aliaksandr & Squazzoni, Flaminio, 2018. "Hidden connections: Network effects on editorial decisions in four computer science journals," Journal of Informetrics, Elsevier, vol. 12(1), pages 101-112.
    17. Michail Kovanis & Ludovic Trinquart & Philippe Ravaud & Raphaël Porcher, 2017. "Evaluating alternative systems of peer review: a large-scale agent-based modelling approach to scientific publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 651-671, October.
    18. Gregory B. Northcraft & Ann E. Tenbrunsel, 2011. "Effective Matrices, Decision Frames, and Cooperation in Volunteer Dilemmas: A Theoretical Perspective on Academic Peer Review," Organization Science, INFORMS, vol. 22(5), pages 1277-1285, October.
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    Cited by:

    1. Daisuke Sakai, 2019. "Who is peer reviewed? Comparing publication patterns of peer-reviewed and non-peer-reviewed papers in Japanese political science," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 65-80, October.
    2. Thomas Feliciani & Junwen Luo & Lai Ma & Pablo Lucas & Flaminio Squazzoni & Ana Marušić & Kalpana Shankar, 2019. "A scoping review of simulation models of peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 555-594, October.
    3. J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2021. "The interplay between the reviewer’s incentives and the journal’s quality standard," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3041-3061, April.
    4. J. A. Garcia & Rosa Rodriguez-Sánchez & J. Fdez-Valdivia, 2020. "The author–reviewer game," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2409-2431, September.
    5. ederico Bianchi & Flaminio Squazzoni, 2022. "Can transparency undermine peer review? A simulation model of scientist behavior under open peer review [Reviewing Peer Review]," Science and Public Policy, Oxford University Press, vol. 49(5), pages 791-800.
    6. Mantas Radzvilas & Francesco De Pretis & William Peden & Daniele Tortoli & Barbara Osimani, 2023. "Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1433-1476, April.
    7. Bianchi, Federico & García-Costa, Daniel & Grimaldo, Francisco & Squazzoni, Flaminio, 2022. "Measuring the effect of reviewers on manuscript change: A study on a sample of submissions to Royal Society journals (2006–2017)," Journal of Informetrics, Elsevier, vol. 16(3).
    8. García, J.A. & Montero-Parodi, J.J. & Rodriguez-Sánchez, Rosa & Fdez-Valdivia, J., 2023. "How to motivate a reviewer with a present bias to work harder," Journal of Informetrics, Elsevier, vol. 17(4).
    9. Bianchi, Federico & Grimaldo, Francisco & Squazzoni, Flaminio, 2019. "The F3-index. Valuing reviewers for scholarly journals," Journal of Informetrics, Elsevier, vol. 13(1), pages 78-86.
    10. Ernesto Carrella, 2021. "No Free Lunch when Estimating Simulation Parameters," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(2), pages 1-7.
    11. Monica Aniela Zaharie & Marco Seeber, 2018. "Are non-monetary rewards effective in attracting peer reviewers? A natural experiment," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1587-1609, December.

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