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Table 10 Limitations of Current Grant Review Models

From: A new approach to grant review assessments: score, then rank

Review Mechanism

Presence of Implicit Bias

Presence of Strategic Voting (based on connection to PI)

Tie Breaking Mechanism

Influence of Outlier Ratings

Sources of Reviewer Input into Recommended Funding Order

Recommended Funding Order Directly or Indirectly Determined

Level of Uncertainty in Recommended Funding Order

Unblinded Panel Review Rating of Proposal Sets

Direct

Direct

None

Medium

Rating Alone

Indirectly (Summary stats of Ratings)

None

Blinded Panel Review Rating of Proposal Sets

Indirect

Indirect

None

Medium

Rating Alone

Indirectly (Summary stats of Ratings)

None

Rating Review of Individual Projects

Direct

Direct but Only Impacting a Few Proposals

None

High

Rating Alone

Indirectly (Summary stats of Ratings)

None

Partial Lottery with Initial Rating of Proposal Sets

Initially Direct and then Random Selection

Initially Direct and then Random Selection

Initially None and then Random

High (Initial Rating with no Panel)

Initial Rating and then Random Selection

Initially Indirectly (Summary stats of Ratings) and then Randomly

Initially None and then Random

Unblinded Panel Review Rating/Ranking of Proposal Sets using Mallows-Binomial Model

Direct

Direct

Integrated Score

Low

Both Rating and Ranking

Directly

Estimated Confidence Intervals