Author: Travis Dorsey

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Travis, an economist by training, was a program analyst in the NIGMS Division of Data Integration, Modeling, and Analytics before leaving for the Small Business Administration in July 2022.

Posts by Travis Dorsey

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Application, Review, Funding, and Demographic Trends for Maximizing Investigators’ Research Awards (MIRA): FYs 2019-2021

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In this Feedback Loop post, we revisit our previous analysis of application, review, funding, and demographic trends for the Maximizing Investigators’ Research Award (MIRA) program over Fiscal Years (FYs) 2019 to 2021. We look at trends for applicants by race/ethnicity and by gender. Due to privacy requirements and small numbers, applicants from underrepresented racial and ethnic groups in biomedical research (Black or African American, Hispanic or Latino, American Indian or Alaska Native, Native Hawaiian and other Pacific Islander) are combined into a larger group that can be reported. Because of the small applicant numbers, we’re unable to show intersectional analyses of race/ethnicity and gender or analyses of applicants with disabilities. 

Table 1 shows the number of new awards made and associated award rates by fiscal year for Established Investigators (EIs) and Early Stage Investigators (ESIs).

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Do MIRA Investigators Apply for More Grants From Other NIH Institutes and Centers Than R01 Investigators?

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NIGMS’ Maximizing Investigators’ Research Award (MIRA) provides investigators with flexibility and stability for their research programs. Investigators who receive MIRA support must dedicate 51% of their research effort toward the grant and are ineligible to apply for or receive other NIGMS research support (with some exceptions). One question frequently asked is whether the NIGMS funding restriction changes the likelihood that MIRA grantees will submit applications to other NIH institutes and centers (ICs). In this post, we compare data on post-award grant applications from NIGMS-funded investigators.

To compare application behavior between MIRA and R01-funded investigators, we created sets of both established (EI) and early stage (ESI) investigators supported by NIGMS R01s (called the comparator group) who have not received a MIRA. The EI comparators were matched according to race/ethnicity, gender, time since acquisition of first R01, and average annual NIGMS funding. For the ESI comparator group, we used all ESI NIGMS R01 awardees.

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Application, Review, Funding, and Demographic Trends for Maximizing Investigators’ Research Awards (MIRA): FY 2016-2018

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NIGMS has made MIRA awards to Established Investigators (EI) and Early-Stage Investigators (ESI) for three full Fiscal Years (FY). In this Feedback Loop post, we provide an analysis of application, review, funding, and demographic trends for the MIRA program.

For the first two rounds of EI MIRAs, eligibility was limited to well-funded NIGMS investigators: PIs with two or more NIGMS R01-equivalent awards or one NIGMS R01-equivalent award for >$400,000 in direct costs. For the FY 2018 EI competition and beyond, eligibility was expanded to include any investigator with a single PD/PI NIGMS R01-equivalent that is up for renewal. For the FY 2016 ESI MIRA competition, ESIs and New Investigators (NI) at the assistant professor or equivalent level were eligible, whereas eligibility was restricted to ESIs in subsequent rounds. As always, a PI can apply for an extension of ESI status for various life and career events, including childbirth.

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Revisiting the Dependence of Scientific Productivity and Impact on Funding Level

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A 2010 analysis by NIGMS and subsequent studies by others (Fortin and Currie, 2013; Gallo et al., 2014; Lauer et al., 2015; Doyle et al., 2015; Cook et al., 2015) have indicated that, on average, larger budgets and labs do not correspond to greater returns on our investment in fundamental science. We have discussed the topic here in A Shared Responsibility and in an iBiology talk Link to external website. In this updated analysis, we assessed measures of the recent productivity and scientific impact of NIGMS grantees as a function of their total NIH funding.

We identified the pool of principal investigators (PIs) who held at least one NIGMS P01 or R01-equivalent grant (R01, R23, R29, R37) in Fiscal Year 2010. We then determined each investigator’s total NIH funding from research project grants (RPGs) or center grants (P20, P30, P50, P60, PL1, U54) for Fiscal Years 2009 to 2011 and averaged it over this 3-year period. Because many center grants are not organized into discrete projects and cores, we associated the contact PI with the entire budget and all publications attributed to the grant. We applied the same methodology to P01s. Thus, all publications citing the support of the center or P01 grant were also attributed to the contact PI, preventing underrepresentation of their productivity relative to their funding levels. Figure 1 shows the distribution of PIs by funding level, with the number of PIs at each funding level shown above each bar.

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P01 Outcomes Analysis

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As part of our program assessment process, we have analyzed NIGMS program project (P01) grants to improve our understanding of how their outcomes compare with those of other mechanisms.

The most recent NIGMS funding opportunity announcement for P01s states that individual projects “must be clearly interrelated and synergistic so that the research ideas, efforts, and outcomes of the program as a whole will offer a distinct advantage over pursuing the individual projects separately.” From this perspective, we sought to address three major questions:

  • Do P01s achieve synergies above and beyond a collection of separate grants?
  • How do the results from P01s compare with those from R01s?
  • Do certain fields of science need P01s more than others?

To address these questions, we analyzed the outcomes of P01 grants using several different metrics and compared these outcomes to those of two comparator groups: single-principal investigator (PI) R01s and multiple-PI R01s. Since P01s could be considered as a collection of single-PI R01s and one or more cores, we chose single-PI R01s as a comparator group. Because a major facet of P01s is their focus on using collaborative approaches to science, we also wanted to compare their outcomes to another collaboration-focused research grant: multiple-PI R01s. While structurally different from P01s, multiple-PI R01s allow for a comparison between two competing models of funding team science within the NIGMS portfolio.

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Analysis of NIGMS Funding Rates for Early Stage Investigators and Non-Early Stage New Investigators

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NIH and NIGMS have policies to promote the successful entry of junior investigators into independent biomedical research careers. NIH classifies investigators who have not previously had a major NIH grant into two categories: new investigators (NIs) and early stage investigators (ESIs), a subset of NIs who are within 10 years of completing their terminal research degree or medical residency. The goal of these policies is to support R01-equivalent awards to both of these categories of investigators at success rates (the percentage of new Type 1 R01 applications that were funded) similar to those of established investigators (EIs) who submit new R01 applications.

Given that the NI and ESI policies have been in effect for some time, we wanted to update and extend an analysis of success rates by investigator status performed in 2010 to see if NIGMS has been able to meet these objectives. While we found that the success rates for all NIs were comparable to or greater than that of EIs, our new analysis also revealed that the subset of NIs who completed their terminal research degree at least 10 years ago (non-ES NIs) had consistently lower success rates in obtaining R01s relative to both ESIs and EIs.

We focused our analysis on NIGMS Type 1 R01 applications for Fiscal Years 2011-2014. Figure 1a shows the success rates for EIs and NIs. During the time period analyzed, success rates for both EIs and NIs were comparable. However, when the NIs are separated into ESIs and non-ES NIs, the data show a more nuanced result (Figure 1b). ESIs consistently had higher success rates than either EIs or non-ES NIs when applying for new R01s.

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