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Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

Race, ethnicity, and NIH research awards.

Donna K Ginther1, Walter T Schaffer, Joshua Schnell

  • 1Department of Economics and Center for Science, Technology & Economic Policy, Institute for Policy & Social Research, University of Kansas, Lawrence, KS 66045, USA. dginther@ku.edu

Science (New York, N.Y.)
|August 20, 2011
PubMed
Summary

Racial disparities persist in National Institutes of Health (NIH) funding. Black or African-American researchers are significantly less likely to receive NIH investigator-initiated research funding compared to white applicants, even after controlling for qualifications.

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Area of Science:

  • Health Services Research
  • Health Disparities
  • Grant Funding Analysis

Background:

  • Investigator-initiated research grants are crucial for scientific advancement.
  • Understanding funding disparities is essential for equitable research support.
  • The National Institutes of Health (NIH) is a primary source of biomedical research funding in the U.S.

Purpose of the Study:

  • To examine the association between applicant race/ethnicity and NIH R01 award probability.
  • To identify potential biases in the NIH research funding allocation process.
  • To inform policy interventions aimed at promoting equity in research funding.

Main Methods:

  • Utilized data from the NIH IMPAC II grant database and Thomson Reuters Web of Science.
  • Analyzed funding probabilities across different racial and ethnic groups.
  • Controlled for applicant qualifications including education, training, and publication record.

Main Results:

  • Proposals with strong priority scores were funded equitably across racial groups.
  • Asian applicants were 4 percentage points less likely to receive funding than white applicants.
  • Black or African-American applicants were 13 percentage points less likely to receive funding than white applicants, with a 10 percentage point disparity remaining after controlling for covariates.

Conclusions:

  • Significant racial disparities exist in NIH R01 funding.
  • Even after accounting for qualifications, Black applicants face lower funding probabilities.
  • Policy interventions are needed to address these inequities in research funding allocation.