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Sadaaki Fukui
Indiana University Indianapolis
$1,279,204
Attributed
$1,279,204
Total exposure
2
Grants
2
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 $330.5K · FY2020–25$500K$375K$250K$125K$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$1,279,204 · 2
By mechanism
R34$1,279,204 · 2
Top collaborators
No co-investigators on record.
Most similar at Indiana University Indianapolis
Same institution · by research overlap
- Rohit Loomba$20,349,897
- Devin Banks$562,665
Others in their field
Other Emerging Leaders on “Mental Health Services”
- Christopher Barnaby Nelson · University Of Melbourne$26,782,982
- Robyn Lorraine Woods · Hennepin Healthcare Research Institute$19,109,927
- Emmanuel Aja Oga · Research Triangle Institute$16,442,002
- Lindsay Lawer Shea · Drexel University$12,498,643
- Ashlee Fitch · Steelworker Charitable/Educational Org$11,902,964
- Lashawn Glasgow · Research Triangle Institute$11,632,918
Research focus
Mental Health ServicesInnovationInterviewClientRecruitAffectMental HealthMental Health OrganizationSurveysServicesNational Institute Of Mental HealthTrainingOccupationsPersonal SatisfactionBurnoutJob SatisfactionComplexPilot ProjectsFutureQuality Of CareTechnologyPerformanceEvaluationPersonnel Turnover
Grant awards (7)
SuperAssist: Client-Centered Supervision Assist App for Mental Health Providers to Improve Job Well-being and Quality of Care$199,648
R34 · FY2025 · MH · contact PI
SuperAssist: Client-Centered Supervision Assist App for Mental Health Providers to Improve Job Well-being and Quality of Care$235,017
R34 · FY2024 · MH · contact PI
Developing a Data-Driven Management System Using Machine Learning and Mixed-Methods Research to Predict Job Turnover Among MentalHealth Professionals$223,506
R34 · FY2022 · MH · contact PI
Developing a Data-Driven Management System Using Machine Learning and Mixed-Methods Research to Predict Job Turnover Among MentalHealth Professionals$107,000
R34 · FY2022 · MH · contact PI
Developing a Data-Driven Management System Using Machine Learning and Mixed-Methods Research to Predict Job Turnover Among MentalHealth Professionals$230,630
R34 · FY2021 · MH · contact PI
Developing a Data-Driven Management System Using Machine Learning and Mixed-Methods Research to Predict Job Turnover Among MentalHealth Professionals$38,768
R34 · FY2021 · MH · contact PI
Developing a Data-Driven Management System Using Machine Learning and Mixed-Methods Research to Predict Job Turnover Among MentalHealth Professionals$244,635
R34 · FY2020 · MH · contact PI