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dc.contributor.authorFeliciani, Thomas
dc.contributor.authorMorreau, Michael Paul
dc.contributor.authorLuo, Junwen
dc.contributor.authorLucas, Pablo
dc.contributor.authorShankar, Kalpana
dc.date.accessioned2022-08-09T08:56:31Z
dc.date.available2022-08-09T08:56:31Z
dc.date.issued2022-01-22
dc.description.abstractObjectives: To explore how factors relating to grades and grading affect the correctness of choices that grantreview panels make among submitted proposals. To identify interventions in panel design that may be expected to increase the correctness of choices.<p> <p>Method: Experimentation with an empirically-calibrated computer simulation model of panel review. Model parameters are set in accordance with procedures at a national science funding agency. Correctness of choices among research proposals is operationalized as agreement with the choices of an elite panel. <p>Conclusions: The simulation model generates several hypotheses to guide further research. Increasing the number of grades used by panel members increases the correctness of simulated choices among submitted proposals. Collective decision procedures giving panels a greater capacity for discriminating among proposals also increase correctness. Surprisingly, differences in grading standards among panel members do not appreciably decrease correctness.en_US
dc.identifier.citationFeliciani T, Morreau M, Luo J, Lucas P, Shankar K. Designing grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model. . Research Policy. 2022;51(4):1-11en_US
dc.identifier.cristinIDFRIDAID 1993304
dc.identifier.doi10.1016/j.respol.2021.104467
dc.identifier.issn0048-7333
dc.identifier.issn1873-7625
dc.identifier.urihttps://hdl.handle.net/10037/26028
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalResearch Policy
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titleDesigning grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model.en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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