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The HHS-declared public health emergency for COVID-19 ended on May 11, 2023 (NOT-OD-23-095). With this milestone, we are also closing out our series of blogs on the distributions of gender and race of designated principal investigators (PIs) of R01 and RPG applications submitted before and after the onset of the pandemic. This final post builds on previous career stage analyses, specifically focusing on applications received between September 8 and May 7 over several consecutive years.
Our first four analyses (from April 2022, October 2021, June 2021, and July 2020) did not show any marked changes in the high-level demographics of designated principal investigators. The most recent analyses, which focused on understanding the gender distribution by career stage (reported in June 2022 and October 2022), did show that the proportion of applications designating either female or underrepresented minority early stage investigators (ESIs) increased over the assessed time periods.
R01-equivalent applications received between January 8 and May 7 (Table 1) and September 8 and January 7 (Table 2) are shown according to career stage. The data include both Type 1 new applications (de novo) and Type 2 renewal applications. Please also note that these data are drawn as of May 31, 2023, and may be subject to change.
Though the overall numbers received in 2022 was less than 2021, we did see a modest rebound in the number of applications in the most recent timeframe. The proportion of applications designating ESI PIs continued to trend higher than the earliest timeframe assessed, whereas the contrary was seen for other new investigators not identified as an ESI.
Table 1: R01-equivalent applications by Career Stage received between January 8 and May 7 in 7 consecutive years
Year | Number | ESI (%) | NI Non-ESI (%) | Experienced (%) |
2017 | 11331 | 12.7 | 14.9 | 72.3 |
2018 | 12322 | 13.4 | 15.3 | 71.3 |
2019 | 12430 | 13 | 14.8 | 72.2 |
2020 | 12091 | 13.9 | 13.3 | 72.8 |
2021 | 12543 | 15.2 | 13.1 | 71.7 |
2022 | 11857 | 14.5 | 12.5 | 73.1 |
2023 | 12119 | 13.6 | 13 | 73.4 |
Table 2: R01-equivalent applications by Career Stage received between September 8 and January 7 in 6 consecutive years
Year | Number | ESI (%) | NI Non-ESI (%) | Experienced (%) |
2017/2018 | 13437 | 17.5 | 15.4 | 67.1 |
2018/2019 | 13578 | 18.2 | 14.4 | 67.4 |
2019/2020 | 13391 | 17.3 | 14.2 | 68.5 |
2020/2021 | 14666 | 16.6 | 14.3 | 69.1 |
2021/2022 | 12984 | 17.6 | 12.9 | 69.5 |
2022/2023 | 13058 | 18.4 | 12.3 | 69.3 |
Let’s now focus on ESIs. All the demographic data used in these analyses were self-reported. Also, the remaining data in this post represent only Type 1 R01-equivalent applications. When reviewing the data, please keep the following in mind:
- We use the White House’s Office of Management and Budget Minimum Standards for collecting and reporting race and ethnicity data (see also this Nexus article for more).
- These demographic data are used for statistical purposes only and not linked to consideration of funding of individual grant applications.
The proportion of applications that designated only male ESIs continued to decrease over the assessed time, while those designating only female ESIs generally increased. Multi-PI applications designating both male and female PIs were generally stable, while applications from PIs whose sex/gender is unknown trended upward.
Table 3: Type 1 R01-equivalent ESI applications by gender received between January 8 and May 7 in 7 consecutive years
Year | Number | All Men (%) | All Women (%) | Both (%) | Unknown (%) | |
2017 | 1440 | 55.6 | 39.3 | 2.6 | 2.5 | |
2018 | 1651 | 54.4 | 40.4 | 2.6 | 2.6 | |
2019 | 1617 | 53.7 | 41.4 | 1.8 | 3.1 | |
2020 | 1680 | 51.4 | 42.7 | 2.5 | 3.4 | |
2021 | 1900 | 51.5 | 41.6 | 3.2 | 3.7 | |
2022 | 1713 | 49.6 | 43.6 | 3 | 3.7 | |
2023 | 1647 | 48 | 44.3 | 2.8 | 5 |
Table 4: Type 1 R01-equivalent ESI applications by gender received between September 8 and January 7 in 6 consecutive years
Year | Number | All Men(%) | All Women(%) | Both(%) | Unknown(%) |
2017/2018 | 2349 | 55.9 | 39.2 | 2 | 3 |
2018/2019 | 2466 | 57.3 | 37.8 | 1.3 | 3.6 |
2019/2020 | 2320 | 54 | 41.4 | 1.6 | 3.1 |
2020/2021 | 2431 | 52.3 | 41.6 | 1.7 | 4.3 |
2021/2022 | 2286 | 49.1 | 43.5 | 2.4 | 4.9 |
2022/2023 | 2406 | 51.5 | 42.2 | 2.2 | 4.1 |
Tables 5 and 6 continue to show a general increase in the proportions of applications designating all underrepresented minority (URM) researchers. The proportion of applications from non-URM ESIs generally decreased over time.
Table 5: Type 1 R01-equivalent ESI applications by URM received between January 8 and May 7 in 7 consecutive years
Year | Number | All URM1 (%) | All Not URM2 (%) | Other3 (%) |
2017 | 1440 | 7.7 | 81 | 11.2 |
2018 | 1651 | 8.1 | 81.8 | 10.2 |
2019 | 1617 | 8.1 | 81.4 | 10.5 |
2020 | 1680 | 8 | 80.1 | 11.9 |
2021 | 1900 | 9.2 | 77.8 | 12.9 |
2022 | 1713 | 9 | 79.7 | 11.3 |
2023 | 1647 | 9.8 | 77.2 | 12.9 |
1 URM includes Black, American Indian, and Pacific Islander Race or Hispanic Ethnicity. All principal investigators had to be a URM.
2 Non-URM includes White or Asian Race and Non-Hispanic Ethnicity. All principal investigators had to be a Non-URM.
3 For “Non-URM Only,’ All other combinations including those with unknown/withheld race or ethnicity are considered as “Other.”
Table 6: Type 1 R01-equivalent ESI applications by URM received between September 8 and January 7 in 6 consecutive years
Year | Number | All URM (%) | All Not URM (%) | Other (%) |
2017/2018 | 2349 | 7.7 | 81.4 | 10.9 |
2018/2019 | 2466 | 8.6 | 79.4 | 12 |
2019/2020 | 2320 | 8.6 | 80.1 | 11.3 |
2020/2021 | 2431 | 7.8 | 80.6 | 11.6 |
2021/2022 | 2286 | 9.2 | 77.8 | 13 |
2022/2023 | 2406 | 11.1 | 77.2 | 11.7 |
We are pleased to see that, generally speaking, the proportions of applications from female or URM ESIs continued to increase during the public health emergency. As we move forward, we will continue assessing various aspects of the research workforce, including any possible lingering effects the pandemic may have caused.
I am grateful to colleagues in the NIH Office of Extramural Research’s Division of Statistical Analysis and Reporting for help with these analyses.
That’s good news. In addition to number of applications submitted, it would be interesting to see how many of those applications from women and URM were successfully awarded compared to everybody else.
Please add the awarded proportion of women- and URM-led grant submissions. Without success rates, this blog does not elucidate whether NIH is supportive of responsive, representative science.