IA-2026-0131
Improved understanding of the processes impacting harmful algal blooms
Pilot Ecosystems and Oceans Science
Description of the initiative
Using machine learning algorithms to analyze phytoplankton images from the Imaging Flow Cytobot (IFCB) to recognize and quantify species associated with harmful algal blooms.
Strategic alignment
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Contacts
- Subject matter expert
- Winegardner, Amanda
Lifecycle
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Ideation
Stage status : Completed
August 28, 2026 August 28, 2026
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Assessment
Stage status : Not applicable
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Approved
Stage status : Not applicable
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Development
Stage status : Not applicable
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Pilot
Stage status : In progress
August 28, 2026
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
Change log (12 entries)
Public history of this initiative's key events. The team's internal exchanges are not shown.
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