← Leaderboards
Nihar Shah
Carnegie Mellon University
$1,675,796
Attributed
$3,320,002
Total exposure
5
Grants
4
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 $1.4M · FY2018–22$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
Funding mix
By agency
NSF$3,320,002 · 5
By mechanism
—$3,320,002 · 5
Top collaborators
- Aarti Singh1 shared
- Adam Perer1 shared
- Fei Fang1 shared
- Jason Hong1 shared
- Kenneth J Holstein1 shared
- Motahhare Eslami1 shared
- Sivaraman Balakrishnan1 shared
Grant awards (5)
RI: Small: Robustness to Undesirable Behavior in Peer Review$599,952
· FY2022 · CSE · contact PI
FAI: Organizing Crowd Audits to Detect Bias in Machine Learning$681,000
· FY2021 · CSE
CAREER: Fundamentals of Learning from People with Applications to Peer Review$664,971
· FY2020 · CSE · contact PI
CIF: Medium: Foundations of Learning from Paired Comparisons and Direct Queries$1,199,145
· FY2018 · CSE · contact PI
CRII: CIF: Crowdsourcing-aware Learning$174,934
· FY2018 · CSE · contact PI