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ResourcesResearch IntegrityArtificial intelligence in peer review: How can evolutionary computation support journal editors? (Papers: Maciej J. Mrowinski, et al | September 2017)

Australasian Human Research Ethics Consultancy Services Pty Ltd (AHRECS)

Artificial intelligence in peer review: How can evolutionary computation support journal editors? (Papers: Maciej J. Mrowinski, et al | September 2017)

Published/Released on September 20, 2017 | Posted by Admin on December 15, 2017 / , , ,
 


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Abstract

With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e.g. long review times) are becoming more apparent. Editorial strategies, sets of guidelines designed to speed up the process and reduce editors’ workloads, are treated as trade secrets by publishing houses and are not shared publicly. To improve the effectiveness of their strategies, editors in small publishing groups are faced with undertaking an iterative trial-and-error approach. We show that Cartesian Genetic Programming, a nature-inspired evolutionary algorithm, can dramatically improve editorial strategies. The artificially evolved strategy reduced the duration of the peer review process by 30%, without increasing the pool of reviewers (in comparison to a typical human-developed strategy). Evolutionary computation has typically been used in technological processes or biological ecosystems. Our results demonstrate that genetic programs can improve real-world social systems that are usually much harder to understand and control than physical systems.

Mrowinski MJ, Fronczak P, Fronczak A, Ausloos M, Nedic O (2017) Artificial intelligence in peer review: How can evolutionary computation support journal editors? PLoS ONE 12(9): e0184711. Publisher (open access); http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0184711

Like many thoughtful conversations about artificial intelligence and research outputs the point here is how smart systems can assist peer reviewers not replace them.

 



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