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Travis Dorsey

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.

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

August 10, 2022

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?

March 21, 2022

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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