Supplementary Materials

Science Advances

Supplementary Materials

The PDF file includes:

Table S1. Attributes of R01 submissions by race of applicant.
Table S2. Distribution of AA/B and WH PIs across institutional funding quintiles.
Table S3. Comparison of the proportion of applications from new investigators by race (R01 Types 1 and 2, FY 2011–2015).
Table S4. Comparison of impact scores for R01 applications from AA/B and WH applicants (Types 1 and 2, FY 2011–2015).
Table S5. Comparison of word2vec topic assignment to human SME annotation.
Table S6. Statistically significant variation in the award rates of topic clusters.
Table S7. Topics favored by AA/B applicants compared to topics with no AA/B applicants.
Table S8. Effect of topic choice on funding gap throughout the R01 application process.
Table S9. Effect of removing variables from regression models (awarded given discussed).
Table S10. Reviewer demographics for all study section meetings that considered R01 applications (FY 2011–2015).
Fig. S1. Racial differences in the number of unique R01 applications submitted per applicant (Types 1 and 2, FY 2011–2015).
Fig. S2. Funding gap between AA/B and WH scientists at each stage of the R01 application and review process at institutions in the highest and lowest NIH funding quintiles.
Fig. S3. Comparison of career age distributions for AA/B and WH scientists.
Fig. S4. Time between initial application submission and resubmission.
Fig. S5. Distribution of topics across study sections.
Fig. S6. Comparison of topic choice variation by race.
Fig. S7. Award rates by topic cluster size.
Fig. S8. Scientific influence for higher and lower success topics.
Fig. S9. Comparison of scientific influence for publications linked to awards from higher and lower success topics by percentile score.
Fig. S10. Scientific influence of publications by new investigators before and after receiving their first award.