Evidence map›Paper›PMID 36444975›Full record

ArticleeLife2022

Systemic racial disparities in funding rates at the National Science Foundation.

Christine Yifeng Chen, Sara S Kahanamoku, Aradhna Tripati, Rosanna A Alegado, Vernon R Morris, Karen Andrade, Justin Hosbey

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Geographical diversity of peer reviewers shapes author success.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Christine Yifeng ChenChemical and Isotopic Signatures Group, Division of Nuclear and Chemical Sciences, Lawrence Livermore National Laboratory, Livermore, United States.ORCID https://orcid.org/0000-0002-9580-6925
Sara S KahanamokuDepartment of Integrative Biology and Museum of Paleontology, University of California, Berkeley, Berkeley, United States.ORCID https://orcid.org/0000-0003-4157-4791
Aradhna TripatiCenter for Diverse Leadership in Science, University of California, Los Angeles, Berkeley, California, United States.ORCID https://orcid.org/0000-0002-1695-1754
Rosanna A AlegadoDepartment of Oceanography and Sea Grant College Program, Daniel K Inouye Center for Microbial Oceanography: Research and Education, University of Hawai'i at Mānoa, Honolulu, United States.ORCID https://orcid.org/0000-0003-3615-5613
Vernon R MorrisSchool of Mathematical and Natural Sciences, New College of Interdisciplinary Arts and Sciences, Arizona State University, Phoenix, United States.ORCID https://orcid.org/0000-0002-6828-4017
Karen AndradeCenter for Diverse Leadership in Science, University of California, Los Angeles, Berkeley, California, United States.
Justin HosbeyDepartment of City and Regional Planning, College of Environmental Design, University of California, Berkeley, Berkeley, United States.ORCID https://orcid.org/0000-0003-0947-4002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concerns about systemic racism at academic and research institutions have increased over the past decade. Here, we investigate data from the National Science Foundation (NSF), a major funder of research in the United States, and find evidence for pervasive racial disparities. In particular, white principal investigators (PIs) are consistently funded at higher rates than most non-white PIs. Funding rates for white PIs have also been increasing relative to annual overall rates with time. Moreover, disparities occur across all disciplinary directorates within the NSF and are greater for research proposals. The distributions of average external review scores also exhibit systematic offsets based on PI race. Similar patterns have been described in other research funding bodies, suggesting that racial disparities are widespread. The prevalence and persistence of these racial disparities in funding have cascading impacts that perpetuate a cumulative advantage to white PIs across all of science, technology, engineering, and mathematics.

Indexed as

EngineeringImmunotherapySystemic Racisminstitutional funding of sciencemeta-researchNational Science Foundationnoneracial disparitiesresearch grants

Identifiers

PMID36444975
PMCPMC9708090

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.