The encyclopedia · Strategy & Leadership · Strategic decision · 2019
SNSF ran a lottery for grant proposals tied by uncertainty
SNSF, finding peer-review rankings near-random around the cutoff, ran a lottery among proposals whose uncertainty overlapped the line.
Swiss National Science Foundation (SNSF)
the move
Funding agencies rank grant proposals by peer-review score and fund everything above a cutoff line, treating that line as a meaningful boundary between funded and rejected quality. But studies of inter-rater reliability keep finding that reviewer agreement on the same proposal is weak: kappa statistics are typically well below 0.5, and a Finnish Academy study comparing two independent expert panels reviewing the same grant proposals found a kappa of just 0.23 -- with panel discussion producing no better consistency than simply averaging the original individual scores. That means a proposal jus
The standard response to that uncertainty is to trust the ranking anyway and defend the cutoff as rigorous: more panel discussion, additional tie-break criteria, re-scoring disputed proposals. Fang and Casadevall argued in 2016 that grant funding was already, in effect, 'a lottery without the benefits of being random' -- reviewer disagreement was already determining many outcomes near the funding line, just disguised as considered judgment rather than acknowledged as chance.
why it works
- Reviewers barely agree better than chance on proposals near the cutoff.
- A Bayesian model made each proposal's uncertainty explicit.
- Proposals with overlapping intervals were identified as genuinely tied.
- Openly randomizing the tied group replaced hidden tie-break theater with transparency.
what transfers
When evaluators can't reliably distinguish candidates, randomize openly within that tied group instead of defending an arbitrary cutoff as precise.
what came after
The approach confines randomness to exactly the proposals where the evaluation genuinely cannot discriminate between candidates, replacing the hidden, effortful theater of extra discussion rounds and tie-break criteria with an honest, cheap, transparent lottery limited to the tied group -- while proposals with real, measurable quality differences are still ranked and decided on merit as before.
references
- Rethinking the Funding Line at the Swiss National Science Foundation: Bayesian Ranking and Lottery
- Rethinking the research funding allocation process
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