Shannon Forkus

University Of Rhode Island

$198,692

Attributed

$198,692

Total exposure

Grants

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 $76.8K · FY2021–24

$100K$75K$50K$25K$0

'21

'22

'23

'24

Funding mix

By agency

NIH$198,692 · 2

By mechanism

F32$148,012 · 1

F31$50,680 · 1

Top collaborators

No co-investigators on record.

Most similar at University Of Rhode Island

Same institution · by research overlap

Others in their field

Other Emerging Leaders on “Stem”

Lisa Garcia Bedolla · University Of California-Berkeley$175,927,128
Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
Joy Williamson-Lott · University Of Washington$69,987,326
Robert Coughlin · Harvard University$50,428,432
Thomas A Lewis · Brown University$49,390,509
Gayle E Woloschak · Northwestern University$48,670,738

Research focus

StemSamplingProgramsSkillsTranslatingHigh RiskMaintenanceMilitary PersonnelResearch PersonnelScienceInnovationSymptomsUniversitiesVeteransDesignInstitutionManuscriptsComplexGrantRecording Of Previous EventsResearch Project GrantsAreaHigh Risk PopulationImpairment

Grant awards (5)

The effect of self-compassion on integrated treatment outcomes among veterans with co-occurring AUD and PTSD.$76,828

F32 · FY2024 · AA · contact PI

The effect of self-compassion on integrated treatment outcomes among veterans with co-occurring AUD and PTSD.$71,184

F32 · FY2023 · AA · contact PI

Predicting Substance Use among Military Veterans with a Positive MST Screen: A Machine Learning Approach$7,177

F31 · FY2022 · DA · contact PI

Predicting Substance Use among Military Veterans with a Positive MST Screen: A Machine Learning Approach$41,003

F31 · FY2021 · DA · contact PI

Predicting Substance Use among Military Veterans with a Positive MST Screen: A Machine Learning Approach$2,500

F31 · FY2021 · DA · contact PI