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. 2023 Jul 17;8:309. [Version 1] doi: 10.12688/wellcomeopenres.19565.1

Table 1. Possible outcomes: a non-exhaustive list.

Outcome Issues
Benefit outcomes
Fairness Lack of a relatively objective criterion (gold standard) measure ( Brezis & Birukou, 2020). Operationalised as
distributive fairness (fairness of outcomes), may require large numbers/long timescales, to spot differences
in clustering of grants. Procedural / informational fairness would require researchers to observe and code
committee work or an adjudication committee to assess content of rejection letters.
Efficiency: time to
deliberation
Objective, continuous (therefore efficient) measure and has been used successfully ( Bendiscioli et al., 2022)] but
may not be seen as important to the public.
Efficiency: appeals Objective, dichotomous measure. May require large sample sizes, depending on base rate. Not universally
applicable and not every funder permits appeals.
Diversity Requires operationalisation by applicant demographic (gender, ethnicity, etc.) or topic (academic disciplines and
research methodologies). The latter might require coding manuals and coders / adjudication committees to
resolve.
High-risk, high
reward projects
Risk is subjective and would require researchers to observe and code applications or an adjudication committee.
Reward would require long timescales
Exceptional
scientific advances
Requires a long timescale and large numbers (very rare event). Would require researchers to observe and code
applications or an adjudication committee running over years.
Harm outcomes
Application quality Requires coding manuals and coders / adjudication committees to resolve.
Questionable
research practices
Subjective. Would require advertisement of the RCT between lottery and usual practice, as well as two researchers
to code grant applications against a framework for QRP.
Reputational
damage to funder
Not subject to experimental design. Can perhaps be operationalised via perceptions of individual scheme and/or
individual scheme applicants.
Stigmatisation of
awardee
Timescales likely to be undesirable. Measurement likely to be problematic.