This USGS grant offers a cooperative agreement to a CESU-affiliated partner, aiming to advance the application of artificial intelligence in ecological science. The core purpose is to develop deep convolutional neural networks for accurate, image-based individual fish recognition. Key objectives include creating baseline AI models, systematically evaluating their performance for individual recognition, and determining their overall effectiveness. This initiative will leverage the extensive knowledge of EESC Research Scientists, who have ongoing studies utilizing AI for identifying fish in freshwater streams and for the early detection of diseased fish. Ultimately, this research seeks to link sophisticated methods in computer science with ecological studies, significantly enhancing our understanding and capabilities in aquatic species monitoring.
Opportunity ID: 336978
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | G22AS00129 |
| Funding Opportunity Title: | Cooperative Agreement for CESU-affiliated Partner with Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 15.808 — U.S. Geological Survey Research and Data Collection |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Dec 14, 2021 |
| Last Updated Date: | Jan 25, 2022 |
| Original Closing Date for Applications: | Jan 14, 2022 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date. |
| Current Closing Date for Applications: | Jan 26, 2022 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date. |
| Archive Date: | – |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $99,000 |
| Award Floor: | $42,000 |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: | This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU’s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit (CESU) Program. |
Additional Information
| Agency Name: | Geological Survey |
| Description: | The USGS is offering a funding opportunity to a CESU partner for research in developing deep convolutional neural networks for image-based individual fish recognition, develop baseline Artificial Intelligence (hereafter, AI) models for individual recognition performance, and determining the performance of AI models. Research Scientists at the EESC have a wealth of knowledge specific to ongoing studies that are using AI to identify fish in freshwater streams and develop early detection of diseased fish. This research will advance the understanding by linking developing methods in computer science with ecological science. |
| Link to Additional Information: | – |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
FAITH GRAVES
fgraves@usgs.gov Email:fgraves@usgs.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| TO REVISE | Jan 25, 2022 | |
| Dec 14, 2021 |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | G22AS00129 |
| Funding Opportunity Title: | Cooperative Agreement for CESU-affiliated Partner with Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 15.808 — U.S. Geological Survey Research and Data Collection |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Dec 14, 2021 |
| Last Updated Date: | Jan 25, 2022 |
| Original Closing Date for Applications: | Jan 14, 2022 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date. |
| Current Closing Date for Applications: | Jan 26, 2022 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date. |
| Archive Date: | – |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $99,000 |
| Award Floor: | $42,000 |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: | This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU’s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit (CESU) Program. |
Additional Information
| Agency Name: | Geological Survey |
| Description: | The USGS is offering a funding opportunity to a CESU partner for research in developing deep convolutional neural networks for image-based individual fish recognition, develop baseline Artificial Intelligence (hereafter, AI) models for individual recognition performance, and determining the performance of AI models. Research Scientists at the EESC have a wealth of knowledge specific to ongoing studies that are using AI to identify fish in freshwater streams and develop early detection of diseased fish. This research will advance the understanding by linking developing methods in computer science with ecological science. |
| Link to Additional Information: | – |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
FAITH GRAVES
fgraves@usgs.gov Email:fgraves@usgs.gov |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | G22AS00129 |
| Funding Opportunity Title: | Cooperative Agreement for CESU-affiliated Partner with Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 15.808 — U.S. Geological Survey Research and Data Collection |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Dec 14, 2021 |
| Last Updated Date: | Dec 14, 2021 |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Jan 14, 2022 Electronically submitted applications must be submitted no later than 5:00 p.m., ET, on the listed application due date. |
| Archive Date: | – |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $99,000 |
| Award Floor: | $42,000 |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on Eligibility: | This financial assistance opportunity is being issued under a Cooperative Ecosystem Studies Unit (CESU) Program. CESU’s are partnerships that provide research, technical assistance, and education. Eligible recipients must be a participating partner of the Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit (CESU) Program. |
Additional Information
| Agency Name: | Geological Survey |
| Description: | The USGS is offering a funding opportunity to a CESU partner for research in developing deep convolutional neural networks for image-based individual fish recognition, develop baseline Artificial Intelligence (hereafter, AI) models for individual recognition performance, and determining the performance of AI models. Research Scientists at the EESC have a wealth of knowledge specific to ongoing studies that are using AI to identify fish in freshwater streams and develop early detection of diseased fish. This research will advance the understanding by linking developing methods in computer science with ecological science. |
| Link to Additional Information: | – |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
FAITH GRAVES
fgraves@usgs.gov Email:fgraves@usgs.gov |
Related Documents
Folder 336978 Full Announcement-Full Announcement -> FUNDING OPPORTUNITY.pdf
Packages
| Agency Contact Information: | FAITH GRAVES fgraves@usgs.gov Email: fgraves@usgs.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 15.808 | G22AS00129 | Cooperative Agreement for CESU-affiliated Partner with Piedmont-South Atlantic Coast Cooperative Ecosystem Studies Unit | PKG00270852 | Jan 25, 2022 | Jan 26, 2022 | View |
Package 1
Mandatory forms
336978 SF424_3_0-3.0.pdf
336978 ProjectNarrativeAttachments_1_2-1.2.pdf
336978 SF424A-1.0.pdf
336978 SF424B-1.1.pdf
Share This Post, Choose Your Platform!
About the Author: osnqt
