Opportunity Information: Apply for G13AS00108
Apply for G13AS00108
- 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, 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 U.S. Geological Survey Research and Data Collection.
- This funding opportunity was created on Jul 31, 2013 and posted on Jul 31, 2013.
- Applicants must submit their applications by Aug 9, 2013. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $24,904.00 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 Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program.
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Opportunity Summary:
The Cooperative Ecosystem Studies Unit, Rocky Mountain CESU funding opportunity (Funding Opportunity Number G13AS00108) is a US Geological Survey (USGS) discretionary research award offered through the Northern Rocky Mountain Science Center (NOROCK). It is structured as a cooperative agreement, meaning the project is expected to involve substantial involvement or collaboration with USGS staff rather than operating as a hands-off grant. The agency planned to make a single award, with an estimated total funding amount of $24,904. There is no cost sharing or matching requirement, which keeps the financial participation focused on the federal funds rather than requiring applicant-provided matching dollars.
The core purpose of the project is a comprehensive review of how geographic spread is modeled, with the primary emphasis on diseases. The work is not about building a new disease-spread model from scratch, but about stepping back and synthesizing the evolution of ideas, methods, and terminology. A key deliverable is an historical perspective that traces the development of disease spread modeling from two closely related traditions: disease mapping and spatial epidemiology. The idea behind this historical lens is practical as much as academic. By clarifying how current approaches grew out of earlier frameworks, the review is intended to make it easier to interpret modern methods, reduce confusion caused by inconsistent terminology, and encourage consistency in how future modeling efforts are described and compared.
Beyond disease, the announcement explicitly requires extending the review to other kinds of spatial spread processes that share similar modeling challenges. In particular, it calls for a parallel look at modeling geographic spread in non-disease contexts such as invasive species expansion and range shifts driven by climate change. This matters because these fields often borrow concepts from one another (for example, diffusion, dispersal kernels, wave-front models, and suitability-driven spread), yet they may use different language, assumptions, or data structures. By comparing these domains side by side, the project is meant to highlight where methods genuinely align and where they diverge due to differences in mechanisms, observation systems, and management goals.
A major expected outcome is the creation of a glossary of spatial spread terminology drawn from each field. The glossary is meant to function as a translation layer across disciplines, helping researchers and practitioners use terms consistently and understand when different terms refer to similar concepts. Along with the glossary, the project must summarize the main modeling approaches used across disease mapping/spatial epidemiology, invasive species spread, and climate-driven range shifts. The review is also expected to identify commonalities and differences among these approaches, which likely includes comparing underlying assumptions (for example, whether spread is primarily driven by local transmission versus long-distance jump dispersal), the role of environmental suitability, how human or animal movement is represented, how uncertainty is handled, and how model outputs are validated. Finally, the announcement calls for a description of the data requirements of each modeling approach, emphasizing what kinds of spatial, temporal, demographic, environmental, and surveillance data are needed, and implicitly what constraints or biases arise when those data are incomplete or uneven.
Eligibility is limited to organizations that are already participating partners in the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program. CESUs are formal research partnerships designed to link federal agencies with universities, nonprofits, and other partners to provide research, technical assistance, and education. In other words, this opportunity is not open broadly to all applicants; it is restricted to entities that are part of the Rocky Mountain CESU network as defined by the program. The opportunity was posted July 31, 2013, with an original and final closing date of August 9, 2013, and it was archived October 31, 2013.
For applicants or interested parties needing the full announcement details, the listing points to Grants.gov as the source, and provides a USGS contact for access issues: Faith Graves at 703-648-7356 and fgraves@usgs.gov.
Frequently Asked Questions (FAQs)
What is the name of this funding opportunity?
This opportunity is the Cooperative Ecosystem Studies Unit, Rocky Mountain CESU funding opportunity, identified by Funding Opportunity Number G13AS00108.
Which federal agency is offering this award?
The award is offered by the U.S. Geological Survey (USGS) as a discretionary research award, through the Northern Rocky Mountain Science Center (NOROCK).
What type of award is this (grant, contract, cooperative agreement)?
It is structured as a cooperative agreement. That means the project is expected to involve substantial involvement or collaboration with USGS staff, rather than operating as a hands-off grant.
How many awards did the agency plan to make?
The agency planned to make a single award.
What is the estimated total funding amount?
The estimated total funding amount is $24,904.
Is cost sharing or matching required?
No. There is no cost sharing or matching requirement stated for this opportunity.
What is the main purpose of the project?
The core purpose is a comprehensive review of how geographic spread is modeled, with a primary emphasis on diseases. The focus is on synthesizing the evolution of ideas, methods, and terminology used in modeling spread.
Is this project intended to build a new disease spread model?
No. The project is not described as building a new disease-spread model from scratch. It is described as a review and synthesis effort.
What disease-related traditions does the review need to cover?
The review must provide an historical perspective tracing the development of disease spread modeling from two closely related traditions: disease mapping and spatial epidemiology.
Why does the opportunity emphasize a historical perspective?
The historical lens is intended to clarify how current approaches grew out of earlier frameworks. The stated practical goals include making modern methods easier to interpret, reducing confusion from inconsistent terminology, and encouraging more consistent descriptions and comparisons of future modeling efforts.
Does the review have to cover non-disease spread processes too?
Yes. Beyond disease, the announcement explicitly requires extending the review to other kinds of spatial spread processes that share similar modeling challenges.
Which non-disease contexts are specifically mentioned?
The opportunity specifically calls for examining geographic spread modeling in contexts such as invasive species expansion and range shifts driven by climate change.
What is the intent of comparing disease spread modeling with invasive species and climate-driven range shifts?
The comparison is meant to highlight where methods align across domains and where they diverge because of differences in mechanisms, observation systems, and management goals. The announcement also notes that these fields often borrow concepts from one another but may use different language, assumptions, or data structures.
What are the major expected deliverables?
Major expected outcomes include: (1) a glossary of spatial spread terminology drawn from each field, (2) summaries of the main modeling approaches used across disease mapping/spatial epidemiology, invasive species spread, and climate-driven range shifts, (3) identification of commonalities and differences among approaches, and (4) a description of the data requirements for each modeling approach.
What is the purpose of the glossary?
The glossary is intended to function as a translation layer across disciplines, helping researchers and practitioners use terms consistently and recognize when different terms refer to similar concepts.
What kinds of comparisons among modeling approaches are expected?
The review is expected to identify commonalities and differences among approaches. Examples mentioned or implied include comparing underlying assumptions (such as local transmission versus long-distance jump dispersal), the role of environmental suitability, how human or animal movement is represented, how uncertainty is handled, and how model outputs are validated.
What does the opportunity say about data requirements?
The announcement calls for describing the data requirements of each modeling approach, emphasizing what kinds of spatial, temporal, demographic, environmental, and surveillance data are needed. It also implies discussing constraints or biases that arise when data are incomplete or uneven.
Who is eligible to apply?
Eligibility is limited to organizations that are already participating partners in the Rocky Mountain Cooperative Ecosystem Studies Unit (CESU) Program. This opportunity is not open broadly to all applicants.
What is the Rocky Mountain CESU Program (in the context of eligibility)?
CESUs are formal research partnerships designed to link federal agencies with universities, nonprofits, and other partners to provide research, technical assistance, and education. For this opportunity, only participating partners in the Rocky Mountain CESU network are eligible.
When was the opportunity posted?
The opportunity was posted on July 31, 2013.
What were the closing dates for submitting an application?
The original closing date and the final closing date were both August 9, 2013.
When was the opportunity archived?
The listing indicates it was archived on October 31, 2013.
Where can applicants find the full announcement details?
The listing points to Grants.gov as the source for the full announcement details.
Who should be contacted for access issues related to the announcement?
The USGS contact listed for access issues is Faith Graves. Phone: 703-648-7356. Email: fgraves@usgs.gov.
Which USGS unit is associated with administering or sponsoring this opportunity?
The opportunity is offered through the Northern Rocky Mountain Science Center (NOROCK), under the USGS.
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