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The U.S. Geological Survey (USGS) is offering a funding opportunity to a CESU partner for research in developing deep convolutional neural networks for stream flow estimation and developing baseline Artificial Intelligence (hereafter, AI) models for flow estimation performance. Research Scientists at the EESC have a wealth of knowledge specific to ongoing studies that are using AI to estimate flow in freshwater streams. This research will advance our understanding by linking developing methods in computer science with ecological science.
Funding Opportunity Number: G22AS00314. Assistance Listing: 15.808. Funding Instrument: CA. Category: ST. Award Amount: $80K – $495K per award.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants: Others (see text field entitled Additional Information on Eligibility for clarification). This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU’s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Great Lakes – Northern Forest Cooperative Ecosystem Studies Unit (CESU) Program. Confirm the full requirements in the official notice before applying.
The current listing shows $80K – $495K per award. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was May 14, 2022, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Yes — Cooperative Agreement for affiliated Partner with Great Lake – Northern Forest Cooperative Ecosystem Studies Unit (CESU) is offered by Geological Survey and this listing comes from Grants.gov, an official U.S. federal source. Federal applications generally require registrations (for example SAM.gov or an agency submission portal), so allow extra lead time.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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