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Designing grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model.

Permanent link
https://hdl.handle.net/10037/26028
DOI
https://doi.org/10.1016/j.respol.2021.104467
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Date
2022-01-22
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Feliciani, Thomas; Morreau, Michael Paul; Luo, Junwen; Lucas, Pablo; Shankar, Kalpana
Abstract
Objectives: 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.

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.

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.

Publisher
Elsevier
Citation
Feliciani 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):1-11
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