Opportunity Information: Apply for G14AS00063

  • The Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Piedmont South Atlantic Coast" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.808 U.S. Geological Survey Research and Data Collection.
  • This funding opportunity was created on May 8, 2014 and posted on Apr 21, 2014.
  • Applicants must submit their applications by May 16, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • The funding agency has allocated a total of $73,000.00 to eligible and selected applicants.
  • The number of recipients for this funding is limited to 1 candidate(s).
  • Eligible applicants include: 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. CESUs are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Piedmont South Atlantic Coast Cooperative Ecosystem Studies Unit (CESU) Program.
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Opportunity Summary:

This grant opportunity (Funding Opportunity Number G14AS00063), titled "Cooperative Ecosystem Studies Unit, Piedmont South Atlantic Coast," was issued by the U.S. Geological Survey (USGS) under the Cooperative Ecosystem Studies Unit (CESU) Program. It is a discretionary science and technology research award made as a cooperative agreement, meaning the selected recipient is expected to work closely with USGS scientists rather than operate fully independently. The focus is applied research and modeling that helps solve a specific real-world management problem involving hydroelectric dam operations and aquatic wildlife conservation.

The project goal is to support a collaborative effort to build a decision model that identifies optimal turbine operation rules that reduce eel mortality at hydroelectric dams while also minimizing unnecessary turbine shutdowns. In practice, the work is aimed at balancing two competing needs: protecting migrating eels from turbine-related injury or death, and maintaining efficient hydropower operations by avoiding overly conservative shutdown schedules that reduce generation when risk is low. Eel migration in the Shenandoah River is identified as the case study, so the modeling effort will be grounded in that river system, its migration timing patterns, and the operational context of local hydropower infrastructure.

A key expectation is that the CESU partner will contribute specifically to the predictive modeling and dynamic optimization components of the decision model. Predictive modeling in this context generally means using available data (for example, environmental conditions, river flow, temperature, seasonal timing, or monitoring detections) to forecast when eels are likely to migrate and therefore when turbine-passage risk is highest. Dynamic optimization refers to methods that determine the best operational choices over time, given uncertainty and changing conditions, to achieve the best tradeoff between reducing eel mortality and limiting shutdown costs. The partner would therefore be expected to bring strong quantitative skills (statistical modeling, decision analysis, optimization, or similar expertise) and integrate that work with USGS science and management objectives.

Only organizations that are official participating partners of the Piedmont South Atlantic Coast CESU are eligible to apply. The opportunity is listed under CFDA (now commonly referred to as Assistance Listing) 15.808, "U.S. Geological Survey Research and Data Collection." The posting date was April 21, 2014, with an original closing date of April 30, 2014, later extended to May 16, 2014. USGS anticipated making one award, with an estimated total funding amount of $73,000. No cost sharing or matching funds were required. The award ceiling and floor were both listed as 0, which typically indicates the agency did not specify formal minimum or maximum bounds in the listing even though an estimated total funding level was provided.

For applicants needing official details beyond the summary, the announcement referenced Grants.gov as the additional information source. The listed point of contact was Faith Graves at USGS (703-648-7356, fgraves@usgs.gov) for assistance accessing the full announcement or addressing administrative questions.

Frequently Asked Questions (FAQs)

What is the funding opportunity number and title for this grant?

The Funding Opportunity Number is G14AS00063. The title is "Cooperative Ecosystem Studies Unit, Piedmont South Atlantic Coast."

Which federal agency is offering this opportunity?

This opportunity was issued by the U.S. Geological Survey (USGS) under the Cooperative Ecosystem Studies Unit (CESU) Program.

What type of award is this?

This is a discretionary science and technology research award made as a cooperative agreement.

What does it mean that the award is a cooperative agreement?

It means the selected recipient is expected to work closely with USGS scientists rather than operating fully independently.

What is the main purpose of the project?

The goal is to support a collaborative effort to build a decision model that identifies optimal turbine operation rules that reduce eel mortality at hydroelectric dams while also minimizing unnecessary turbine shutdowns.

What management problem is this project trying to solve?

The project addresses a real-world operational and conservation tradeoff: protecting migrating eels from turbine-related injury or death while maintaining efficient hydropower operations by avoiding overly conservative turbine shutdown schedules when risk is low.

What species and conservation concern are central to this opportunity?

The focus is on eels and reducing turbine-related mortality during migration at hydroelectric dams.

What is the case study location for the modeling effort?

Eel migration in the Shenandoah River is identified as the case study, so the model is expected to be grounded in that river system and its associated hydropower operational context.

What kind of work is expected from the CESU partner?

A key expectation is that the CESU partner will contribute to the predictive modeling and dynamic optimization components of the decision model, integrating that work with USGS science and management objectives.

What does "predictive modeling" mean in the context of this project?

Predictive modeling here generally refers to using available data to forecast when eels are likely to migrate and when turbine-passage risk is highest. The summary mentions examples of relevant data types such as environmental conditions, river flow, temperature, seasonal timing, or monitoring detections.

What does "dynamic optimization" mean in the context of this project?

Dynamic optimization refers to methods that determine the best operational choices over time, given uncertainty and changing conditions, to achieve a strong tradeoff between reducing eel mortality and limiting shutdown costs.

What skills or expertise does the partner need to bring?

The opportunity indicates the partner should bring strong quantitative skills, such as statistical modeling, decision analysis, optimization, or similar expertise, and apply those skills collaboratively with USGS scientists.

Who is eligible to apply?

Only organizations that are official participating partners of the Piedmont South Atlantic Coast CESU are eligible to apply.

Is this opportunity open to non-CESU organizations?

No. The eligibility is limited to official participating partners of the Piedmont South Atlantic Coast CESU.

What is the Assistance Listing (CFDA) number for this opportunity?

The listing is under CFDA (now commonly referred to as an Assistance Listing) 15.808, "U.S. Geological Survey Research and Data Collection."

When was the opportunity posted?

The posting date was April 21, 2014.

What was the application deadline?

The original closing date was April 30, 2014, and it was later extended to May 16, 2014.

How many awards did USGS anticipate making?

USGS anticipated making one award.

What is the estimated total funding amount?

The estimated total funding amount was $73,000.

Is cost sharing or matching required?

No cost sharing or matching funds were required.

Was an award minimum (floor) or maximum (ceiling) specified?

The award ceiling and floor were both listed as 0. The summary notes this typically indicates the agency did not specify formal minimum or maximum bounds in the listing, even though an estimated total funding level of $73,000 was provided.

Where can applicants find the official announcement and full details?

The announcement referenced Grants.gov as the additional information source for official details beyond the summary.

Who is the point of contact for questions about the announcement?

The listed point of contact was Faith Graves at USGS. Phone: 703-648-7356. Email: fgraves@usgs.gov.

What kinds of questions is the listed contact meant to help with?

The contact was provided for assistance accessing the full announcement or addressing administrative questions.

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