Designing grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model.
Permanent link
https://hdl.handle.net/10037/26028Date
2022-01-22Type
Journal articleTidsskriftartikkel
Peer reviewed
Abstract
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.