← Leaderboards
Henry Ruhl
University Of Texas At Austin
$1,555,072
Attributed
$7,775,362
Total exposure
3
Grants
0
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $5M · FY2021–22$10M$7.5M$5M$2.5M$0
'21
'22
Funding mix
By agency
NSF$7,775,362 · 3
By mechanism
—$7,775,362 · 3
Top collaborators
- Angus Forbes2 shared
- Benjamin G Woodward2 shared
- Kakani K Young2 shared
- Bruce M Howe1 shared
- Katherine L Bell1 shared
- Leila Takayama1 shared
- Lisa A Levin1 shared
- Patrick Heimbach1 shared
Grant awards (3)
NSF Convergence Accelerator Track E: Ocean Vision AI: Scaling up visual observations of life in the ocean using artificial intelligence$5,035,260
· FY2022 · TIP
AccelNet-Implementation: Implementing a Deep Ocean Observing Strategy (iDOOS)$1,992,928
· FY2021 · O/D
NSF Convergence Accelerator Track E: Ocean Vision AI: Scaling up Visual Observations of Life in the Ocean Using Artificial Intelligence$747,174
· FY2021 · TIP