Grants / Department of Defense / Engineer Research and Development Center

W81EWF-21-SOI-0023: Developing Case Studies from Pre/Post Natural disaster monitoring of natural features

Closed Closed Opportunity W81EWF-21-SOI-0023 ☆ 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 2021.

• Award ceiling$23,500
• Total funding$70,500
• Expected awards3
• 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 North Atlantic Coast, Chesapeake Watershed, Piedmont-South Atlantic Coast, South Florida-Caribbean, and Gulf Coast Californian and Pacific Northwest Cooperative Ecosystems Studies Units (CESUs).

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 $23,500 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 work represents an opportunity to develop case studies highlighting the performance/impact to natural features or natural and nature based features (NNBF) during recent natural disaster events such as hurricanes, and flooding. Many university researchers have gathered recent pre/post storm data using various metrics. While there are often mechanisms to collect data, opportunities to analyze the collected data and develop case studies are not always feasible. This requirement is to develop a subset of sampling events into a case study in collaboration with USACE. This is an opportunity to identify and use existing data from past storm seasons to develop case studies demonstrating the performance of natural features. Ultimately, case study results would also be used to relate natural performance to anticipated performance of NNBF features. Case studies could be focused on natural features such as dunes, marshes, reefs, etc. or NNBFs. Previously collected data used to develop case studies might include (but is not limited to) a combination of wave attenuation and water movement data, sediment transport data, elevation data, and vegetation or other ecological data. The findings of this cooperative agreement will be made publicly available through the release of public reports or peer-reviewed journal articles as well as a public seminar describing results. The Government will be involved with the research by providing technical guidance on the research, assisting with the experimental design, and collaborating on the journal articles. The Government is not expecting the periods of performances to overlap. Identified project tasks are: 1. Describe previously collected data and justification for how it can be used as a case study for monitoring natural or NNBF features pre/post natural disaster. 2. Work collaboratively with ERDC to analyze data and develop case study/. 3. Work collaboratively with ERDC publish case study via ERDC or peer reviewed publications. Requirements: Successful applicants should have expert knowledge of 1) NNBF and Natural features, 2) available pre and post natural disaster (e.g., hurricane, flood event, etc.) monitoring data in hand associated with a natural feature or NNBF, and 3) knowledge of planned statistical approaches for analysis of those datasets. Areas of expertise required to perform this study include: 1) Knowledge and experience monitoring extreme events. 2) Statistical analysis.

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.