$2.00M to the University of Nebraska-Lincoln — environmental surveillance with AI, built on the premise that detection after an outbreak comes too late (budget code 47.083, for regional research capacity)
An award seeking early detection of microbial and chemical threats to food production systems through environmental surveillance. The abstract notes that current approaches often detect such threats only after an outbreak occurs or contaminants reach critical levels. The budget code is 47.083, covering the building of regional research capacity.
Grant overview (primary data)
- Award amount$2,000,000
- RecipientUniversity of Nebraska-Lincoln (Nebraska)
- ProgramEPSCoR RII: Focused EPSCoR Col
- Period2026-09-01 〜 2030-08-31
- FunderU.S. National Science Foundation (NSF) / NSF
Key points
- The abstract notes that current monitoring often detects threats only after an outbreak or after contaminants reach critical levels.
- Environmental surveillance around the production system, rather than the food itself, is used to give early warning.
- The award links two geographically distant institutions, the University of Hawaii at Manoa and the University of Nebraska-Lincoln.
- Budget code 47.083 covers raising research capacity in jurisdictions that receive relatively little federal research money.
- Among the 120 NSF awards this site holds as of 2026-09-01, 47.083 accounts for 10.
- Current surveillance often detects only after an outbreak, so this project watches the environment around production rather than the food itself.
1The problem stated is that detection comes late
What the abstract puts first is that current monitoring is slow: it often detects threats only after disease outbreaks occur or contaminants reach critical levels.
By the time something is found it has already spread, a structure common to monitoring of any kind. This project uses environmental surveillance to move that moment earlier, watching the environment around the production system rather than the food itself.
2Raising research capacity in two states at once
The award links two geographically distant institutions, the University of Hawaii at Manoa and the University of Nebraska-Lincoln. What they share is that both sit in jurisdictions covered by EPSCoR.
EPSCoR is a framework built on the recognition that federal research money tends to concentrate, aimed at raising research capacity in states and territories that receive relatively little. Budget code 47.083 covers work of that kind, so alongside the subject of the research sits the question of where research strength is grown.
3The budget code carries a second purpose
Sorting the 120 NSF awards this site holds as of 2026-09-01 by budget code puts 47.083 at 10. Against 26 for 47.076, 23 for 47.084 and 21 for 47.070 it is small, and it differs in character.
Where the other codes express a field, 47.083 expresses regional research capacity, a different axis. Within the same AI award, funding carries not only what is studied but whose capacity is raised. The budget code is where that second purpose can be read.
4Moving the moment of detection earlier
The abstract opens on the lateness of current surveillance: detection often comes only after an outbreak has occurred or a contaminant has reached a critical level. What this project moves is not the accuracy of detection but the moment at which it becomes possible.
Looking at the environment surrounding production rather than the food itself follows from that shift. Joining two geographically distant institutions, in Hawaii and Nebraska, reads the same way: observing simultaneously where climate and crops differ is what gives the design its point.
Why it matters
In designing monitoring, when a thing is caught matters as much as what is measured. Watching the environment rather than waiting for an outbreak is the general shape of early warning, in food and beyond. The budget code shows a purpose separate from the subject: whose capacity the money is meant to raise.
FAQ
Why monitor the environment?
What is EPSCoR?
Why do two universities pair up?
Sources (primary)
Source: NSF Award Search (U.S. National Science Foundation, public domain). Amounts are the obligated amount. For privacy, we do not handle principal investigator names.
- NSF Award (original, official)
- NSF Award ID: 2614885