NIH & NSF Funding Cuts 2025: Impact & Analysis

Christopher Crockett 2025-11-18 18:00:00

In 2025, more than 3,800 research grants from the⁣ National Institutes of Health and the National Science Foundation were terminated or frozen as part of ⁢the Trump administration’s⁢ effort to realign funding priorities.

The cuts — totaling about $3 billion in remaining funds — targeted initiatives related to diversity, equity and inclusion; environmental protection; vaccine hesitancy; public health and more. These initiatives include:

  • Cancer⁢ hub — the largest hit to any NIH grant ($77⁢ million in remaining funds) froze support for Northwestern University’s Lurie Cancer Center,a national hub for ⁤cancer research,care and community outreach.
  • STEM barriers —⁤ Within NSF, the largest terminated grant ($9 ⁤million in remaining funds) supported the coordination hub of the agency’s INCLUDES initiative, which aims to make the STEM workforce more diverse by supporting large-scale efforts to remove systemic barriers. The hub connects hundreds of⁣ researchers, organizations‍ and community groups⁢ working toward this goal.
  • Vaccine uptake — One terminated grant ($200,000 in unspent funds) aimed to understand and reduce⁣ COVID-19⁢ vaccine hesitancy⁣ among young Black adults in three Southern states.
  • Diverse immune cells — A grant to ⁤investigate how neurons regulate specialized immune⁣ cells in the retina lost its $490,000 of remaining funding. While the reason for its termination⁤ is unclear, the grant mentions that these cells exhibit remarkable “diversity,” a⁤ term the ⁤administration has flagged as problematic.
  • Education ‍disparities ⁤— The University⁣ System of Maryland Louis ⁤Stokes Alliances for‍ Minority Participation program aims to increase the number of underrepresented college students in maryland. A grant to study the impact of these efforts by gender, ethnicity and transfer status was terminated, with $1.7 million still to be spent.

Methodology⁤ and caveats

All data come from Grant Witness, a project to track NIH and NSF grant terminations⁢ via government databases and researcher submissions. We used a large language model (OpenAI’s GPT-5 Nano) to categorize grants by agency research areas based on grant abstracts. Each infographic wedge shows “equivalent grants lost”: total cut or ⁣frozen funds remaining to be spent divided by the median. There may⁣ be⁢ inaccuracies ⁢due to delays in financial‍ reporting and the rapidly shifting‍ landscape; some‍ funding may have been restored by‍ the time you read this.

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