Cooperative Agreement for affiliated Partner with Great Lake – Northern Forest Cooperative Ecosystem Studies Unit (CESU) — Geological Survey funding opportunity
Geological Survey · Federal agency

Cooperative Agreement for affiliated Partner with Great Lake – Northern Forest Cooperative Ecosystem Studies Unit (CESU)

The 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 (h...

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Award $80k–$495k Deadline 1558 days ago Location Alabama Type grant Level Federal Closed posted Apr 14, 2022
✦ AI Summary
  • Who can apply: Federal-level applicants (see eligibility for details).
  • Funding amount: $79,500 – $495,000.
  • Next deadline: May 14, 2022.
  • Issued by: Geological Survey.
How was this generated?

The “key facts” mode pulls structured fields directly from the official source posting (amount, deadline, eligibility tags). The AI mode adds a short plain-English narrative on top, generated from the same source. Always verify with the agency before applying.

AI-generated. Always verify with the official source.

Who can apply — at a glance

  • Eligible applicants: see the Eligibility tab for the criteria from the official announcement.
  • Where: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, District of Columbia.
  • Award: $80k–$495k.
  • Matching funds: not required.
  • Deadline type: Fixed.

Compiled from the official listing's structured fields — always verify with the funder before applying.

About the funder

Geological Survey is a federal-level funder.

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Award amount
$80k–$495k
Deadline
1558 days ago
May 14, 2022

About this opportunity

The 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 agency

Geological Survey
Federal agency

Tags

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Who can apply

Eligibility details aren't on file yet — check the agency source link in the Documents tab for the latest rules.

Geographic eligibility

  • Alabama
  • Alaska
  • Arizona
  • Arkansas
  • California
  • Colorado
  • Connecticut
  • Delaware
  • Florida
  • Georgia
  • Hawaii
  • Idaho
  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Maryland
  • Massachusetts
  • Michigan
  • Minnesota
  • Mississippi
  • Missouri
  • Montana
  • Nebraska
  • Nevada
  • New Hampshire
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • North Dakota
  • Ohio
  • Oklahoma
  • Oregon
  • Pennsylvania
  • Rhode Island
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • Utah
  • Vermont
  • Virginia
  • Washington
  • West Virginia
  • Wisconsin
  • Wyoming
  • District of Columbia

How to apply

We don't have application instructions on file yet — head straight to the official source.

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Source documents

View on agency site
Canonical NOFO, application packet, and forms
No supplemental documents yet.

Direct downloads (NOFO PDFs, application forms, FAQs) will appear here once our team attaches them. For now, the agency site has the canonical packet.

Citation details

Source systemgrants.gov
Source ID339488
PostedApr 14, 2022

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