EconPapers    
Economics at your fingertips  
 

Can transparency undermine peer review? A simulation model of scientist behavior under open peer review

Reviewing Peer Review

Ederico Bianchi and Flaminio Squazzoni

Science and Public Policy, 2022, vol. 49, issue 5, 791-800

Abstract: Transparency and accountability are keywords in corporate business, politics, and science. As part of the open science movement, many journals have started to adopt forms of open peer review beyond the closed (single- or double-blind) standard model. However, there is contrasting evidence on the impact of these innovations on the quality of peer review. Furthermore, their long-term consequences on scientists’ cooperation and competition are difficult to assess empirically. This paper aims to fill this gap by presenting an agent-based model that simulates competition and status dynamics between scholars in an artificial academic system. The results would suggest that if referees are sensitive to competition and status, the transparency achieved by open peer review could backfire on the quality of the process. Although only abstract and hypothetical, our findings suggest the importance of multidimensional values of peer review and the anonymity and confidentiality of the process.

Keywords: peer review; science; reviewer bias; status; agent-based models (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1093/scipol/scac027 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:scippl:v:49:y:2022:i:5:p:791-800.

Access Statistics for this article

Science and Public Policy is currently edited by Nicoletta Corrocher, Jeong-Dong Lee, Mireille Matt and Nicholas Vonortas

More articles in Science and Public Policy from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2025-03-19
Handle: RePEc:oup:scippl:v:49:y:2022:i:5:p:791-800.