IDEAS home Printed from https://ideas.repec.org/a/eee/respol/v44y2015i6p1266-1270.html
   My bibliography  Save this article

The big consequences of small biases: A simulation of peer review

Author

Listed:
  • Day, Theodore Eugene

Abstract

To determine the effect of reviewer bias on grant application funding rates between a “preferred class” (PC) and a “non-preferred class” (NPC) of principal investigator.

Suggested Citation

  • Day, Theodore Eugene, 2015. "The big consequences of small biases: A simulation of peer review," Research Policy, Elsevier, vol. 44(6), pages 1266-1270.
    • Handle: RePEc:eee:respol:v:44:y:2015:i:6:p:1266-1270
    DOI: 10.1016/j.respol.2015.01.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0048733315000086
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.respol.2015.01.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Viner, Neil & Powell, Philip & Green, Rod, 2004. "Institutionalized biases in the award of research grants: a preliminary analysis revisiting the principle of accumulative advantage," Research Policy, Elsevier, vol. 33(3), pages 443-454, April.
    2. In-Uck Park & Mike W. Peacey & Marcus R. Munafò, 2014. "Modelling the effects of subjective and objective decision making in scientific peer review," Nature, Nature, vol. 506(7486), pages 93-96, February.
    3. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2007. "Gender differences in grant peer review: A meta-analysis," Journal of Informetrics, Elsevier, vol. 1(3), pages 226-238.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Kapeller, Jakob & Steinerberger, Stefan, 2016. "Emergent phenomena in scientific publishing: A simulation exercise," Research Policy, Elsevier, vol. 45(10), pages 1945-1952.
    4. Olgica Nedić & Aleksandar Dekanski, 2016. "Priority criteria in peer review of scientific articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 15-26, April.
    5. Marco Cozzi, 2020. "Public Funding of Research and Grant Proposals in the Social Sciences: Empirical Evidence from Canada," Department Discussion Papers 1809, Department of Economics, University of Victoria.
    6. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    7. Eliseo Reategui & Alause Pires & Michel Carniato & Sergio Roberto Kieling Franco, 2020. "Evaluation of Brazilian research output in education: confronting international and national contexts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 427-444, October.
    8. Michail Kovanis & Raphaël Porcher & Philippe Ravaud & Ludovic Trinquart, 2016. "Complex systems approach to scientific publication and peer-review system: development of an agent-based model calibrated with empirical journal data," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 695-715, February.
    9. Dennis L Murray & Douglas Morris & Claude Lavoie & Peter R Leavitt & Hugh MacIsaac & Michael E J Masson & Marc-Andre Villard, 2016. "Bias in Research Grant Evaluation Has Dire Consequences for Small Universities," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-19, June.
    10. Marjolijn N. Wijnen & Jorg J. M. Massen & Mariska E. Kret, 2021. "Gender bias in the allocation of student grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5477-5488, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marjolijn N. Wijnen & Jorg J. M. Massen & Mariska E. Kret, 2021. "Gender bias in the allocation of student grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5477-5488, July.
    2. Zhao, Zhi-Dan & Chen, Jiahao & Lu, Yichuan & Zhao, Na & Jiang, Dazhi & Wang, Bing-Hong, 2021. "Dynamic patterns of open review process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    3. Stefano Bianchini & Patrick Llerena & Sıla Öcalan-Özel & Emre Özel, 2022. "Gender diversity of research consortia contributes to funding decisions in a multi-stage grant peer-review process," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    4. Emre Özel, 2024. "What is Gender Bias in Grant Peer review?," Working Papers halshs-03862027, HAL.
    5. Albert Banal-Estañol & Qianshuo Liu & Inés Macho-Stadler & David Pérez-Castrillo, 2021. "Similar-to-me Effects in the Grant Application Process: Applicants, Panelists, and the Likelihood of Obtaining Funds," Working Papers 1289, Barcelona School of Economics.
    6. Simen G. Enger & Fulvio Castellacci, 2016. "Who gets Horizon 2020 research grants? Propensity to apply and probability to succeed in a two-step analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1611-1638, December.
    7. Marco Cozzi, 2020. "Public Funding of Research and Grant Proposals in the Social Sciences: Empirical Evidence from Canada," Department Discussion Papers 1809, Department of Economics, University of Victoria.
    8. Banal-Estañol, Albert & Macho-Stadler, Inés & Pérez-Castrillo, David, 2019. "Evaluation in research funding agencies: Are structurally diverse teams biased against?," Research Policy, Elsevier, vol. 48(7), pages 1823-1840.
    9. Amy Hinsley & William J Sutherland & Alison Johnston, 2017. "Men ask more questions than women at a scientific conference," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-14, October.
    10. Chiara Franzoni & Paula Stephan & Reinhilde Veugelers, 2022. "Funding Risky Research," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 1(1), pages 103-133.
    11. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
    12. Krawczyk, Michał & Smyk, Magdalena, 2016. "Author׳s gender affects rating of academic articles: Evidence from an incentivized, deception-free laboratory experiment," European Economic Review, Elsevier, vol. 90(C), pages 326-335.
    13. Jonas Lindahl & Cristian Colliander & Rickard Danell, 2020. "Early career performance and its correlation with gender and publication output during doctoral education," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 309-330, January.
    14. Lawson, Cornelia & Salter, Ammon, 2023. "Exploring the effect of overlapping institutional applications on panel decision-making," Research Policy, Elsevier, vol. 52(9).
    15. Michał Krawczyk & Magdalena Smyk, 2015. "Gender, beauty and support networks in academia: evidence from a field experiment," Working Papers 2015-43, Faculty of Economic Sciences, University of Warsaw.
    16. Simen G. Enger, 2017. "Closed clubs: Cumulative advantages and participation in Horizon 2020," Working Papers on Innovation Studies 20170703, Centre for Technology, Innovation and Culture, University of Oslo.
    17. Albert Banal-Estañol & Ines Macho-Stadler & David Pérez-Castrillo, 2016. "Key Success Drivers in Public Research Grants: Funding the Seeds of Radical Innovation in Academia?," CESifo Working Paper Series 5852, CESifo.
    18. Shen, Hongquan & Cheng, Ying & Ju, Xiufang & Xie, Juan, 2022. "Rethinking the effect of inter-gender collaboration on research performance for scholars," Journal of Informetrics, Elsevier, vol. 16(4).
    19. Hartshorn, Jessica A. & Brockerhoff, Eckehard G. & Klapwijk, Maartje J. & Marzano, Mariella & Ganley, Rebecca J. & Darr, Molly N., 2023. "Attracting and retaining women in forest entomology and forest pathology," Forest Policy and Economics, Elsevier, vol. 154(C).
    20. Charles Ayoubi & Michele Pezzoni & Fabiana Visentin, 2021. "Does It Pay to Do Novel Science? The Selectivity Patterns in Science Funding," Science and Public Policy, Oxford University Press, vol. 48(5), pages 635-648.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:respol:v:44:y:2015:i:6:p:1266-1270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/respol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.