The NIH funding landscape for grant strategy.
← Back to the appGrantScape integrates three public NIH data sources into one browser tool so investigators can see what NIH funds, where funding is growing, and which institutes and study sections fund a given research area. Everything runs locally in your browser; nothing is uploaded. On the hosted site, the three tabs load real NIH data automatically when you open the page.
What NIH funds by research category (RCDC), and which areas are rising.
For a research concept, which institutes and study sections fund it.
scripts/pull_concept_landscape.py or the Colab notebook, which support keyword combinations (AND / OR / Boolean).Success rate and funding by Institute/Center (NIH Data Book). Pick a fiscal year to see one row per IC, sorted by success rate. These are new (Type 1) RPG success rates; the primary column is investigator-initiated (untargeted). Rates are administrative and IC-level — not specific to your topic within an institute.
The three tabs answer a single strategic question: for my science, which institutes and study sections fund it, is that area growing, and what are the odds there? For example, transplantation research concentrates at NCI (lower current odds), whereas regenerative-medicine research concentrates at NIGMS (higher current odds) — so where a field is reviewed can matter as much as the science.
RCDC categorical spending and success rates: report.nih.gov; funded projects: NIH RePORTER. RCDC categories overlap and NIH does not budget by category; study-section success rates are not published anywhere. GrantScape is descriptive — a map to inform, not determine, submission strategy.
See CITATION.cff in the repository (a “Cite this repository” button appears on GitHub). Code and bundled public-domain data are released under the MIT License.
Not affiliated with or endorsed by the National Institutes of Health. All data are U.S. government public-domain works.
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