Closed · W81EWF-24-SOI-0011 · CFDA 12.630 · Discretionary
Natural and Nature-Based Features (NNBFs) in Water Resources Planning
Federal grant opportunity posted by Engineer Research and Development Center, cataloged on Grants.gov.
- up to $40K
- Award range
- Closed
- Status
- February 22, 2024
- Close date
- 1
- Expected awards
The verdict
Natural and Nature-Based Features (NNBFs) in Water Resources Planning is a closed discretionary listing from Engineer Research and Development Center that offered Up to $40,000 across 1 expected award. Future funding cycles may be published under the same CFDA number.
- up to $40K
- award range
- Closed
- application status
- 1
- expected award
- 12.630
- CFDA program
Opportunity snapshot. This Grants.gov announcement - Natural and Nature-Based Features (NNBFs) in Water Resources Planning - is cataloged under number W81EWF-24-SOI-0011 and tied to CFDA assistance listing 12.630, posted by Engineer Research and Development Center. Grants.gov currently shows the opportunity as closed, first posted on December 22, 2023. The funding category is Discretionary, delivered as a cooperative agreement.
Award economics. The award range on file is Up to $40,000. The agency has projected $40,000 in total estimated funding for this announcement. It expects to issue 1 award. If the agency funds the expected 1 award from the $40,000 estimated pool, the average award works out to roughly $40,000. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.
Deadline and action path. This opportunity closed on February 22, 2024. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.
Award Range
Up to $40,000
Close Date
February 22, 2024
Posted
December 22, 2023
Est. Total Funding
$40,000
Expected Awards
1
Instrument
Cooperative Agreement
Description
This project will develop techniques for the use of process and data driven computational models, data science, machine learning (ML) and artificial intelligence (AI) to support planning, design, and implementation of natural and nature-based features (NNBFs) in water resources infrastructure. The Ecohydrology Team at the ERDC Environmental Laboratory is conducting research to incorporate engineered natural and nature-based features (NNBFs) into water resources infrastructure planning and management to deliver economic, environmental, and social benefits. Data-driven ML/AI models are needed to better simulate the evolution of NNBFs with the context of their environment on decadal timescales under a variety of possible loading conditions. To parameterize these models, data science and literature review will be conducted to categorize and synthesize existing information about the performance of NNBFs in past experiments and to support the development of hybrid process-based, ML/AI engineering models. Program Description/Objective: The R&D objectives are to support several needs within this broad topic area, namely: (1) the completion of literature reviews describing the state of research and practice and (2) short reports outlining methods, tasks, and deliverables for specific subtopics, which include: (a) The role of AI/ML in supporting natural and nature-based features (NNBF) research and designs; b) Modeling feedbacks between physical and natural/ecological systems; (c) Characterization of NNBFs performance and risk reduction benefits, and (d)Engineered design of NNBFs. Each of these literature reviews and short reports should be less than 10 pages, include citations and background data, code, etc.
Eligibility
Grants.gov lists this opportunity under eligibility category code 25. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Agency Contact
Phoebe V Fuller Grantor Phone 6016343793
Key Dates
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| Sources | the SAM.gov Assistance Listings and Grants.gov |