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Stefan Scherer
University Of Southern California
$2,200,825
Attributed
$2,200,825
Total exposure
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $573.1K · FY2019–22$1M$750K$500K$250K$0
'19
'20
'21
'22
Funding mix
By agency
NIH$2,200,825 · 1
By mechanism
R01$2,200,825 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Southern California
Same institution · by research overlap
- Shrikanth Narayanan$7,916,420
- Dani Byrd$6,122,503
- Andrew Hung$5,614,545
- Andrew David Smith$4,181,898
- Xianghong Jasmine Zhou$12,263,390
Others in their field
Other Emerging Leaders on “Alcohol Abuse”
- John E Schulenberg · University Of Michigan At Ann Arbor$10,169,002
- Richard Scranton · Lyndra Therapeutics, Inc.$9,277,094
- Melinda Moyer · Icf, Inc., Llc$7,236,812
- Richard Joseph Johnson · Colorado Research Partners, Llc$6,102,731
- Patrick Boen · Lyndra Therapeutics, Inc.$5,849,897
- Samer Gawrieh · Indiana University Indianapolis$5,461,180
Research focus
Alcohol AbuseAlcohol ConsumptionAlgorithmsAssertivenessBaseBehaviorBehavior ChangeBehavior DisordersClientCodeCollectionComplementComplexComputer FrameworkConsumptionDatabasesData SetDrinkingDrinking BehaviorElementsEmpathyExperimental StudyFacial ExpressionAcoustics
Grant awards (4)
Automatic Coding of Therapist and Client Language in Motivational Interviewing to Predict Reductions in Alcohol Use and Problems Using Machine-based Dyadic Multimodal Representation Learning$519,211
R01 · FY2022 · AA · contact PI
Automatic Coding of Therapist and Client Language in Motivational Interviewing to Predict Reductions in Alcohol Use and Problems Using Machine-based Dyadic Multimodal Representation Learning$554,199
R01 · FY2021 · AA · contact PI
Automatic Coding of Therapist and Client Language in Motivational Interviewing to Predict Reductions in Alcohol Use and Problems Using Machine-based Dyadic Multimodal Representation Learning$554,280
R01 · FY2020 · AA · contact PI
Automatic Coding of Therapist and Client Language in Motivational Interviewing to Predict Reductions in Alcohol Use and Problems Using Machine-based Dyadic Multimodal Representation Learning$573,135
R01 · FY2019 · AA · contact PI