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Social Simulation That 'Peers into Peer Review'

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Abstract

This article suggests to view peer review as a social interaction problem and shows reasons for social simulators to investigate it. Although essential for science, peer review is largely understudied and current attempts to reform it are not supported by scientific evidence. We suggest that there is room for social simulation to fill this gap by spotlighting social mechanisms behind peer review at the microscope and understanding their implications for the science system. In particular, social simulation could help to understand why voluntary peer review works at all, explore the relevance of social sanctions and reputational motives to increase the commitment of agents involved, cast light on the economic cost of this institution for the science system and understand the influence of signals and social networks in determining biases in the reviewing process. Finally, social simulation could help to test policy scenarios to maximise the efficacy and efficiency of various peer review schemes under specific circumstances and for everyone involved.

Suggested Citation

  • 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.
  • Handle: RePEc:jas:jasssj:2011-52-1
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    File URL: http://jasss.soc.surrey.ac.uk/14/4/3/3.pdf
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    1. repec:cup:apsrev:v:80:y:1986:i:04:p:1095-1111_18 is not listed on IDEAS
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    Cited by:

    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. repec:spr:scient:v:99:y:2014:i:3:d:10.1007_s11192-014-1239-1 is not listed on IDEAS
    3. repec:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2522-8 is not listed on IDEAS
    4. 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.
    5. repec:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2244-y is not listed on IDEAS
    6. 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.
    7. Maciej J. Mrowinski & Agata Fronczak & Piotr Fronczak & Olgica Nedic & Marcel Ausloos, 2016. "Review time in peer review: quantitative analysis and modelling of editorial workflows," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 271-286, April.

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