Author: Emerald Nguyen

Emerald, was a data scientist in the NIGMS Division of Data Integration, Modeling, and Analytics before moving to the National Institute on Aging in December 2021.

Posts by Emerald Nguyen

Application and Funding Trends in Fiscal Year 2020

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On December 27, 2020, the Consolidated Appropriations Act, 2021, was signed into law. The appropriation provides NIGMS with a budget of $2,991,417,000, in Fiscal Year (FY) 2021, a 1.8% increase over the FY 2020 appropriation. With this increased budget, NIGMS is committed to providing taxpayers with the best possible returns on their investments in fundamental biomedical research. As part of this commitment to stewardship, we regularly monitor trends in our funding portfolio.

NIGMS maintains a diversified biomedical research portfolio, supporting a wide range of topics and investigators. NIGMS and NIH programs and policies aim to increase the number of funded investigators and to maintain researchers’ funding stability over time. In this post, we describe NIGMS investigator-level trends for selected R01-equivalent grants as well as overall research project grant (RPG) trends for FY 2020 compared to previous fiscal years.

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NIGMS Training Application and Funding Trends: Individual NRSA Postdoc and Pathway to Independence Awards

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Our Division of Training, Workforce Development, and Diversity (TWD) supports programs at multiple career stages to foster the development of a strong and diverse biomedical research workforce. This post is the first in a series focused on data from NIGMS training programs and is similar to the ones we have done for our research project grant portfolio. Below, we examine trends in NIGMS applications and awards for the Individual Postdoctoral National Research Service Award (NRSA) (F32) and Pathway to Independence Award (K99) programs. NIGMS also supports institutional postdoctoral awards that include the Institutional Research and Academic Career Development Awards (IRACDA) (K12) and NRSA Institutional Postdoctoral Training Grants (T32) focused in clinical areas, and data on these programs were shared previously.

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