INFORMS journals are migrating towards a "Double-Anonymous Review Process"
I am pleased to report that the INFORMS Board has approved a new policy to adopt the double-anonymous review process. This policy received majority support from our EICs and the publication committee, and unanimous support from our INFORMS board members.
Double-anonymous review is a type of peer review in which the identities of the authors and reviewers are masked from one another. In contrast, in single-anonymous review, the identities of the authors are revealed to the reviewers. While ensuring absolute anonymity is not always possible, the double-anonymous approach has a demonstrable track record (across a wide range of disciplines) of reducing bias.
Over the past few years, several INFORMS journals have independently committed to adopting double-anonymous review including: Decision Analysis (in January 2020), and Operations Research and Transportation Science (in January 2024).
Currently, there are only five remaining journals operating under single-anonymous review. These journals - Mathematics of Operations Research, INFORMS Journal on Computing, INFORMS Journal of Data Sciences, INFORMS Journal of Optimization, and Stochastic Systems - cover disciplines with robust pre-print cultures in which single-anonymous review has been the norm.
While the double-anonymous review policy will officially take effect on January 1, 2025, to ensure a smooth transition, the change for the five journals mentioned above will occur with the next EIC appointment or renewal.
Adopting the double-anonymous review process across all INFORMS journals underscores our commitment to fairness, and I thank you for your support.
Thank you,
Chris Tang
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Christopher Tang
Distinguished Professor
ucla
Los Angeles CA
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