Grants / Department of Defense / Engineer Research and Development Center

W81EWF-24-SOI-0011: Natural and Nature-Based Features (NNBFs) in Water Resources Planning

Closed Closed February 22, 2024 Opportunity W81EWF-24-SOI-0011 ☆ Save

This grant is closed. A newer notice from the same program is open now: ERDC Broad Agency Announcement (W912HZ26S0001). Status: Closes January 1, 2027 (55 days left). It is in our archive of Engineer Research and Development Center notices from 2023.

• Award ceiling$40,000
• Total funding$40,000
• Expected awards1
• Cost sharingNot required
• Funding typeCooperative Agreement

Key dates

Who can apply

This opportunity was open to the applicants described in the notice.

• Others (see text field entitled "Additional Information on Eligibility" for clarification)

This opportunity is restricted to non-federal partners of the Colorado Plateau Cooperative Ecosystems Studies Unit (CESU). Disclosures of current and pending support made in this application may render an applicant ineligible for funding. Prior to award and throughout the period of performance, ERDC may continue to request updated continuing and pending support information, which will be reviewed and may result in discontinuation of funding. Religious organizations are entitled to compete on equal footing with secular organizations for Federal financial assistance as described in E.O. 13798, “Promoting Free Speech and Religious Liberty.”

Is this a realistic fit?

• Past Basic, Applied, and Advanced Research in Science and Engineering awards averaged $1.1 million; this notice allows up to $40,000 per award.
• Most of the program's money (69% over five years) went to colleges and universities.
• No cost sharing or match is required.

What the grant funds

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.

Category: Science and Technology and other Research and Development.

Applying now

This notice no longer takes applications. Apply under the newer notice, W912HZ26S0001, which is open now.

The notice on Grants.gov keeps its full text and attachments, which is useful for planning a resubmission.