Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Many granting agencies allow reviewers to know the identity of a proposal’s Principal Investigator (PI), which opens the possibility that reviewers discriminate on the basis of PI race and gender. We investigated this experimentally with 48 NIH R01 grant proposals, representing a broad spectrum of NIH-funded science. We modified PI names to create separate White male, White female, Black male, and Black female versions of each proposal, and 412 scientists each submitted initial reviews for three proposals. We find little to no race or gender bias in initial R01 evaluations, and additionally find that any bias that might have been present must be negligible in size. This conclusion was robust to a wide array of statistical model specifications. Pragmatically important bias may be present in other aspects of the granting process, but our evidence suggests that it is not present in the initial round of R01 reviews.

License: CC-By Attribution 4.0 International

Wiki

Add important information, links, or images here to describe your project.

Files

Loading files...

Citation

Components

Power analysis

Forscher, Cox, Brauer & 1 more

Recent Activity

Loading logs...

Supplemental results

Forscher, Cox, Brauer & 1 more

Recent Activity

Loading logs...

Main analysis

Forscher, Cox, Brauer & 1 more

Recent Activity

Loading logs...

Sensitivity analysis

Forscher, Cox, Brauer & 1 more

Recent Activity

Loading logs...

Materials


Recent Activity

Loading logs...

Data


Recent Activity

Loading logs...

How many reviewers are required to obtain reliable evaluations of NIH R01 grant proposals?

Forscher, Brauer, Cox & 1 more
The National Institutes of Health uses small groups of scientists to judge the quality of the grant proposals that they receive, and these quality jud...

Recent Activity

Loading logs...

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.