Closed · EPA-I-R3-CBP-23-12 · CFDA 66.466 · Discretionary
Chesapeake Bay Program Office Fiscal Year 2023 Request for Applications for: Leverage High Resolution Watershed Data for Water Quality Modeling using Machine Learning Techniques
Federal grant opportunity posted by Environmental Protection Agency, cataloged on Grants.gov.
- up to $450K
- Award range
- Closed
- Status
- September 22, 2023
- Close date
- 1
- Expected awards
The verdict
Chesapeake Bay Program Office Fiscal Year 2023 Request for Applications for: Leverage High Resolution Watershed Data for Water Quality Modeling using Machine Learning Techniques is a closed discretionary listing from Environmental Protection Agency that offered Up to $450,000 across 1 expected award. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 1,487 other opportunities from Environmental Protection Agency.
- up to $450K
- award range
- Closed
- application status
- 1
- expected award
- 66.466
- CFDA program
Archived opportunity record
Chesapeake Bay Program Office Fiscal Year 202… is closed (last close September 22, 2023). Check the agency catalog for replacement NOFOs. Environmental Protection Agency still indexes 1,487 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed September 22, 2023
Est. Total Funding
$450,000
Expected Awards
1
Instrument
Cooperative Agreement
Cost Sharing
Required
Description
EPA is issuing this RFA to support the Chesapeake Bay Program (CBP) partnership’s continuing mission of evaluating the effectiveness of implemented and proposed management actions taken to reduce nutrient and sediment pollutant loads and to improve Chesapeake Bay water quality through the seven watershed jurisdictions’ Watershed Implementation Plans under current and future climate change and growth. The CBP’s mission includes enhancing and maintaining the accountability of systems dependent on tracking, verifying, reporting, and quantifying the estimated pollutant load reduction potential of practices, treatments, and technologies implemented throughout the watershed and assessing their collective influence on Chesapeake Bay tidal water quality.
Catch-all / unrestricted eligibility mark · EPA-I-R3-CBP-23-12
Grants.gov marks Chesapeake Bay Program Office Fiscal Year 202… with a catch-all / unrestricted eligibility code (Others (see official listing text)). Read the official announcement text for the real applicant filter — the code alone is not a door list. Applicant cost-sharing is required on the Grants.gov extract. Instrument: Cooperative Agreement. Funding-activity codes span Environment · Information and Statistics (ENV;IIJ). This eligibility-code string dominates the Environmental Protection Agency book (1,239 peers, 83% of 1,488).
- Code 25
- Others (see official listing text)
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Agency Contact
Emily Heller
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What to do next
Chesapeake Bay Program Office Fiscal Year 202… is closed; use the parent program and agency catalog for the next funding cycle.
- Browse open federal opportunities in the same category when this listing is closed. Open opportunities
- Look up CFDA 66.466 across all indexed listings before you commit to this opportunity alone. Eligibility finder
- Compare award ranges across federal categories before you pick a single CFDA. All categories
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |