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Bistra Dilkina
Kaiser Foundation Research Institute
$971,006
Attributed
$1,942,011
Total exposure
1
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 $724.6K · FY2023–25$1M$750K$500K$250K$0
'23
'24
'25
Funding mix
By agency
NIH$1,942,011 · 1
By mechanism
R01$1,942,011 · 1
Top collaborators
- Sonya L Negriff3 shared
Most similar at Kaiser Foundation Research Institute
Same institution · by research overlap
- Helene Choquet$2,516,210
- Stacy Ann Sterling$13,179,092
- Paul Estabrooks$9,759,254
- Luis A Rodriguez$415,882
- Paola Gilsanz$24,690,756
Others in their field
Other Rising Stars on “Abuse Victim”
- Bharti Khurana · Brigham And Women'S Hospital$2,608,420
- Bonnie Jean Olsen · University Of Southern California$2,078,605
- P. Priscilla Lui · University Of Washington$1,398,446
- Takato Hiranita · University Of Texas Hlth Science Center$1,282,475
- Sara Bybee · University Of Utah$1,188,879
- Melissa Bright · Center For Violence Prevention Research, Inc.$1,088,274
Research focus
Abuse VictimAccelerationAccidentsAddictionAdolescenceAdolescentAdolescent Substance UseAdoptionAdultAfrican AmericanAlcohol Use InitiationCaliforniaCaringCessation Of LifeChildChild Abuse And NeglectChildhoodChild WelfareClinical CareClinical Decision-MakingClinical Decision SupportClinical Predictive ModelClinical Risk18 Year Old
Grant awards (3)
Using machine learning to accelerate our understanding of risks for early substance use among child-welfare and community youth$596,416
R01 · FY2025 · DA
Using machine learning to accelerate our understanding of risks for early substance use among child-welfare and community youth$620,964
R01 · FY2024 · DA
Using machine learning to accelerate our understanding of risks for early substance use among child-welfare and community youth$724,631
R01 · FY2023 · DA