Opportunity Information: Apply for G23AS00097

The U.S. Geological Survey (USGS) is offering a discretionary research funding opportunity through a cooperative agreement for a partner organization that is already affiliated with the Great Lakes Northern Forest Cooperative Ecosystem Studies Unit (CESU). The project focus is on advancing methods to automatically detect and classify wildlife in aerial imagery by applying deep learning approaches, reflecting a science and technology research and development effort aimed at improving how wildlife can be identified and monitored from remotely collected images.

This opportunity is issued under the Cooperative Ecosystem Studies Unit (CESU) Program, which is a network of partnerships designed to connect federal agencies with universities and other eligible partners to deliver research, technical support, and educational benefits. Because the award is structured as a cooperative agreement rather than a standard grant, applicants should expect substantial federal involvement during the life of the project, such as collaboration on technical direction, data access, study design considerations, or coordination with broader USGS objectives related to ecological monitoring and decision support.

Eligibility is limited to organizations that are participating partners of the Great Lakes Northern Forest CESU, and the eligible applicant category is listed as "Others," which in the CESU context generally indicates that only entities formally included in that CESU partnership can apply. The funding opportunity is identified as Funding Opportunity Number G23AS00097, falls under CFDA 15.808, and is categorized under the "Science and Technology and other Research and Development" activity area.

The opportunity was created on November 29, 2022, with an original closing date of December 30, 2022. The award ceiling is $480,000. While the posting notes "ExpectedAwards:" without a specified number, the ceiling indicates the maximum amount available under the announcement, with final award decisions and the number of awards dependent on USGS priorities and the availability of funds. Overall, the solicitation supports applied research that would likely produce practical tools, models, or workflows for processing aerial wildlife imagery at scale, leveraging modern deep learning techniques to reduce manual review and improve consistency and speed in wildlife detection and classification.

  • The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Agreement for CESU-affiliated Partner with Great Lakes Northern Forest Cooperative Ecosystem Studies Unit" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808.
  • This funding opportunity was created on 2022-11-29.
  • Applicants must submit their applications by 2022-12-30. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $480,000.00 in funding.
  • Eligible applicants include: Others.
Apply for G23AS00097

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Frequently Asked Questions (FAQ)

What agency is offering this funding opportunity?

The opportunity is offered by the U.S. Geological Survey (USGS).

What type of funding instrument is being used?

This opportunity is offered through a cooperative agreement (not a standard grant).

What does it mean that this is a cooperative agreement?

Because it is a cooperative agreement, applicants should expect substantial federal involvement during the project. Based on the announcement description, that involvement may include collaboration on technical direction, access to data, input on study design considerations, and coordination with broader USGS objectives related to ecological monitoring and decision support.

What is the main focus of the project?

The project focuses on advancing methods to automatically detect and classify wildlife in aerial imagery by applying deep learning approaches. The intent is to improve how wildlife can be identified and monitored from remotely collected images.

What kinds of outcomes is the solicitation aiming to support?

The solicitation supports applied research likely to produce practical tools, models, or workflows for processing aerial wildlife imagery at scale. It also emphasizes using modern deep learning techniques to reduce manual review and improve consistency and speed in wildlife detection and classification.

What program is this opportunity issued under?

This opportunity is issued under the Cooperative Ecosystem Studies Unit (CESU) Program, described as a network of partnerships that connects federal agencies with universities and other eligible partners to deliver research, technical support, and educational benefits.

Which CESU is associated with this award?

The relevant unit is the Great Lakes Northern Forest Cooperative Ecosystem Studies Unit (CESU).

Who is eligible to apply?

Eligibility is limited to organizations that are participating partners of the Great Lakes Northern Forest CESU. The eligible applicant category is listed as "Others," which in this CESU context generally indicates that only entities formally included in that CESU partnership can apply.

Can organizations outside the Great Lakes Northern Forest CESU apply?

Based on the information provided, no. The eligibility language limits applications to organizations that are already affiliated with (i.e., participating partners of) the Great Lakes Northern Forest CESU.

Is this opportunity for a new partner organization or an existing CESU partner?

The opportunity is described as being for a partner organization that is already affiliated with the Great Lakes Northern Forest CESU.

What is the Funding Opportunity Number?

The Funding Opportunity Number is G23AS00097.

What is the CFDA number associated with this opportunity?

The opportunity is listed under CFDA 15.808.

How is the activity area categorized?

The activity area is categorized as "Science and Technology and other Research and Development."

What is the maximum award amount (award ceiling)?

The award ceiling is $480,000, which indicates the maximum amount available under the announcement.

How many awards does USGS expect to make?

The posting notes "ExpectedAwards:" but does not provide a number. Final award decisions and the number of awards are dependent on USGS priorities and the availability of funds.

When was the opportunity created?

The opportunity was created on November 29, 2022.

What was the original closing date?

The original closing date was December 30, 2022.

What kind of imagery is the research concerned with?

The research is concerned with aerial imagery used for wildlife detection and classification.

What methods are emphasized for wildlife detection and classification?

The solicitation emphasizes deep learning approaches to automate detection and classification of wildlife in aerial imagery.

How does this work relate to USGS priorities?

The description indicates the work should align with broader USGS objectives related to ecological monitoring and decision support, with federal involvement potentially guiding technical direction and coordination.

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