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Genomic Surveillance for Antimicrobial Resistance in Animals is sponsored by Cornell University College of Veterinary Medicine (funded by NIH and NSF). This program, supported by NIH and NSF, focuses on real-time monitoring of antimicrobial resistance in animals to protect public health. AI and data science approaches are highly relevant for analyzing genomic data and predicting resistance patterns.
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Genomic Surveillance for Antimicrobial Resistance in Animals | Cornell University College of Veterinary Medicine Genomic Surveillance for Antimicrobial Resistance in Animals Baker Institute for Animal Health FDA-Food & Drug Administration (DHHS) Genomic Surveillance for Antimicrobial Resistance in Animals DESCRIPTION (provided by applicant): There is a growing need for monitoring antimicrobial resistance in animals in order to protect the safety of both people and animals.
Capacity for bacterial whole genome sequencing in veterinary institutions supports the mission of FDA to ensure the safety of our nation's food supply and protect public health by enabling real-time monitoring of isolates. In this proposal, we request funding to maintain capacity for our bacterial sequencing services for FDA.
The capacity to perform advanced molecular characterization of bacterial isolates in a reliable manner is critical to our ability to respond quickly to suspected microbiological contamination and monitor antimicrobial resistance in animals and feed. Importantly, having this capacity fills a critical surveillance gap by monitoring live animals for antimicrobial resistance.
In addition to serving as one of the sequence reference labs, the Goodman laboratory at Cornell has provided analytic support to the program office and mentorship to the other laboratories by providing validation, methods, and Quality Assurance documentation for these procedures.
The proposed studies will have important impacts for both human and animal health and will improve the capabilities of Vet-LIRN to perform effective surveillance for food-borne pathogens.
According to the current listing, eligibility includes: Typically academic institutions and researchers involved in veterinary medicine, public health, and genomics. Although the primary funder is Cornell, the program is supported through larger federal initiatives. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1.2 million over four years ($300,000 per year) through the Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) program. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Genomic Surveillance for Antimicrobial Resistance in Animals is funded by Cornell University College of Veterinary Medicine (funded by NIH and NSF). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
On August 26, 2026, NSF named the STC class of 2026: TEMPEST at Michigan State, GENIE at Northwestern, and a human-robot co-adaptation center at UT Austin. $90 million total, $6 million a year each. The 2023 class was four centers and $120 million. The award size is intact; the shelf space shrank 25 percent — and that is the number that should reshape how you plan a center proposal.
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