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Matthew Scott Goodwin
University Of California, San Diego
$1,677,448
Attributed
$3,165,756
Total exposure
2
Grants
1
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 $511K · FY2013–25$1M$750K$500K$250K$0
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$3,165,756 · 2
By mechanism
R01$3,165,756 · 2
Top collaborators
- Kenneth Denton Craig4 shared
- Jeannie S Huang4 shared
- Marian S Bartlett3 shared
- Virginia De Sa1 shared
Most similar at University Of California, San Diego
Same institution · by research overlap
- Yoav Shai Freund$5,128,471
- Maria Marquine$7,895,420
- Raeanne Cristine Moore$6,850,676
- Kenneth Denton Craig$647,267
- Shadi Dayeh$13,862,272
Others in their field
Top investigators on “Technology”
- David Heimbrook · Leidos Biomedical Research, Inc.$995,338,451
- Sonia M Thomas · Research Triangle Institute$700,865,642
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Eric S Lander · Whitehead Institute For Biomedical Res$606,570,095
- Tracy L Nolen · Research Triangle Institute$474,487,152
- Richard K. Wilson · Washington University$441,856,657
Research focus
TechnologyBehaviorPhysiologicalAdoptionAlgorithmsBehavioralMachine LearningFaceSignal TransductionChildhoodFoundationsFutureDetectionBaseAcute PancreatitisAutism Spectrum DisorderAdverse OutcomeClinical ResearchCommunicationChild Health CareChildAreaCalibrationAppendectomy
Grant awards (8)
SCH: Enhancing Automated Prediction of Challenging Behavior in Individuals with Autism Using Biosensor Data and Machine Learning$287,502
R01 · FY2025 · LM · contact PI
SCH: Enhancing Automated Prediction of Challenging Behavior in Individuals with Autism Using Biosensor Data and Machine Learning$294,332
R01 · FY2024 · LM · contact PI
SCH: Enhancing Automated Prediction of Challenging Behavior in Individuals with Autism Using Biosensor Data and Machine Learning$300,000
R01 · FY2023 · LM · contact PI
SCH: Enhancing Automated Prediction of Challenging Behavior in Individuals with Autism Using Biosensor Data and Machine Learning$299,511
R01 · FY2022 · LM · contact PI
Development of a new technology for assessing pediatric pain (NTAP)$511,044
R01 · FY2016 · NR
Development of a new technology for assessing pediatric pain (NTAP)$493,156
R01 · FY2015 · NR
Development of a new technology for assessing pediatric pain (NTAP)$502,019
R01 · FY2014 · NR
Development of a new technology for assessing pediatric pain (NTAP)$478,192
R01 · FY2013 · NR