Opportunity Information: Apply for G17AS00102
The Cooperative Ecosystem Studies Unit, Rocky Mountain CESU funding opportunity (Funding Opportunity Number G17AS00102) is a discretionary U.S. Geological Survey (USGS) award offered under the Department of the Interior. It is structured as a cooperative agreement, which typically means the USGS expects to have substantial involvement in the project as it is carried out, rather than simply providing funds with minimal interaction. The program sits in the Science and Technology and other Research and Development activity category and is associated with CFDA 15.808.
The core purpose of the opportunity is to support research that strengthens the application of species distribution models, with a strong emphasis on statistical rigor and practical improvements in modeling technique. Rather than funding broad ecological fieldwork, the project is centered on providing statistical expertise that helps evaluate, test, and refine how species distribution models are built and assessed. In practice, this means the selected partner is expected to help determine which modeling approaches perform best under different conditions, how to fairly compare those approaches, and how to interpret model quality in a way that is useful for decision-making and science.
The work described is organized around three main research support areas. First, the awardee would assist with the design and implementation of simulation studies used to compare the performance of different modeling algorithms. Simulations are important because they allow researchers to create controlled, repeatable scenarios where the "true" relationships are known, making it easier to understand when and why certain algorithms succeed or fail. Second, the project includes evaluating metrics for model validation and performance assessment, focusing on how to measure and communicate model accuracy, reliability, and usefulness. This can involve reviewing and testing different validation approaches and performance indicators to identify which ones best reflect real-world model behavior. Third, the opportunity anticipates additional statistical consulting and programming support as needed, indicating a flexible role where the partner may provide code development, analytical troubleshooting, workflow improvement, or other technical support tied to the modeling and validation tasks.
Eligibility is limited to CESU partners, with the listing noting "Others" and directing applicants to additional eligibility information in the full announcement. The opportunity anticipated a single award, with an award ceiling of $85,671 and an expected number of awards equal to 1. The opportunity was created on June 22, 2017, and originally closed on July 7, 2017, reflecting a short application window typical of some targeted, partner-focused research needs. Overall, the grant is best understood as a focused, technical research support project meant to improve the statistical foundations and evaluation methods used in species distribution modeling within USGS-supported work.Apply for G17AS00102
- The Department of the Interior, Geological Survey in the science and technology and other research and development sector is offering a public funding opportunity titled "Cooperative Ecosystem Studies Unit, Rocky Mountain CESU" 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 Jun 22, 2017.
- Applicants must submit their applications by Jul 07, 2017. (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 $85,671.00 in funding.
- 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).
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Frequently Asked Questions (FAQ)
What is the name of this funding opportunity and who is offering it?
This opportunity is the Cooperative Ecosystem Studies Unit, Rocky Mountain CESU funding opportunity. It is a discretionary award from the U.S. Geological Survey (USGS) under the Department of the Interior.
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is G17AS00102.
What type of award is this?
The award is structured as a cooperative agreement.
What does it mean that this is a cooperative agreement?
A cooperative agreement typically means USGS expects substantial involvement in the project during performance. In other words, the project is not simply funded and left to run independently; USGS anticipates active participation as the work is carried out.
Which agency and department are associated with the award?
The awarding agency is the U.S. Geological Survey (USGS), and it is offered under the Department of the Interior.
What is the main purpose of the project?
The core purpose is to support research that strengthens the application of species distribution models, with an emphasis on statistical rigor and practical improvements in modeling technique. The project is designed to improve how models are built, compared, validated, and interpreted.
Is this grant intended to fund broad ecological fieldwork?
No. The opportunity is centered on providing statistical expertise to evaluate, test, and refine species distribution modeling approaches and model assessment methods, rather than funding broad fieldwork.
What activity category is this opportunity listed under?
The program is listed in the Science and Technology and other Research and Development activity category.
What CFDA number is associated with this opportunity?
The opportunity is associated with CFDA 15.808.
What are the main research support areas included in the work?
The work is organized around three main areas: (1) helping design and implement simulation studies to compare modeling algorithms, (2) evaluating metrics for model validation and performance assessment, and (3) providing additional statistical consulting and programming support as needed.
What does the simulation study support involve?
The awardee is expected to assist with designing and implementing simulation studies that compare the performance of different species distribution modeling algorithms. Simulations create controlled, repeatable scenarios where the true relationships are known, which helps reveal when and why certain methods succeed or fail.
What does the model validation and performance metrics work involve?
This part of the work focuses on evaluating how model performance is measured and communicated. It can include reviewing and testing different validation approaches and performance indicators to identify which metrics best represent real-world model behavior and usefulness.
What does "additional statistical consulting and programming support as needed" mean in practice?
It indicates a flexible role where the awardee may provide support such as code development, analytical troubleshooting, workflow improvements, or other technical assistance tied to species distribution modeling and model validation tasks.
What kinds of outcomes is USGS seeking from this project?
The opportunity is aimed at improving the statistical foundations and evaluation methods used in species distribution modeling. That includes determining which modeling approaches perform best under different conditions, how to compare approaches fairly, and how to interpret model quality in ways that support science and decision-making.
Who is eligible to apply?
Eligibility is limited to CESU partners. The listing also notes "Others" and directs applicants to additional eligibility information in the full announcement.
Is the opportunity expected to result in multiple awards?
No. The opportunity anticipated a single award, with the expected number of awards equal to 1.
What is the maximum funding amount available under this opportunity?
The award ceiling is $85,671.
When was the opportunity created and when did it close?
The opportunity was created on June 22, 2017, and originally closed on July 7, 2017.
How long was the application window?
Based on the posted dates (June 22, 2017 to July 7, 2017), the application window was short, reflecting a targeted, partner-focused research need.
How should applicants interpret the overall scope of this grant?
It is best understood as a focused, technical research support project intended to improve statistical rigor, modeling technique, and model evaluation practices for species distribution models within USGS-supported work.
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| Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU Apply for G17AS00098 Funding Number: G17AS00098 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $80,000 |
| Cooperative Ecosystem Studies Unit, Californian CESU Apply for G17AS00082 Funding Number: G17AS00082 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $20,000 |
| Cooperative Ecosystem Studies Unit, North Atlantic Coast CESU Apply for G17AS00090 Funding Number: G17AS00090 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $30,000 |
| Cooperative Ecosystem Studies Unit, Gulf Coast CESU Apply for G17AS00061 Funding Number: G17AS00061 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $460,000 |
| Cooperative Ecosystem Studies Unit, Great Plains CESU Apply for G17AS00086 Funding Number: G17AS00086 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $75,000 |
| Cooperative Ecosystem Studies Unit, Rocky Mountain CESU Apply for G17AS00103 Funding Number: G17AS00103 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $81,971 |
| Cooperative Ecosystem Studies Unit, Rocky Mountain CESU Apply for G17AS00096 Funding Number: G17AS00096 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $25,000 |
| Cooperative Ecosystem Studies Unit, Great Lakes Northern Forests CESU Apply for G17AS00091 Funding Number: G17AS00091 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $91,000 |
| Cooperative Ecosystem Studies Unit, Rocky Mountain CESU Apply for G17AS00094 Funding Number: G17AS00094 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $50,000 |
| Cooperative Ecosystem Studies Unit, Rocky Mountain CESU Apply for G17AS00093 Funding Number: G17AS00093 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $90,000 |
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| Cooperative Ecosystem Studies Unit, Colorado Plateau CESU Apply for G17AS00083 Funding Number: G17AS00083 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $49,000 |
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| Cooperative Ecosystem Studies Unit, Gulf Coast CESU Apply for G17AS00087 Funding Number: G17AS00087 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $425,000 |
| Cooperative Ecosystem Studies Unit, Southern Applachian Mountains CESU Apply for G17AS00081 Funding Number: G17AS00081 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $19,494 |
| Cooperative Ecosystem Studies Unit (CESU), Piedmont â¿¿ South Atlantic Coast CESU Apply for G17AS00075 Funding Number: G17AS00075 Agency: Department of the Interior, Geological Survey Category: Science and Technology and other Research and Development Funding Amount: $29,100 |
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