IPPRA / Grant Monitor

2026-07-07
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D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional)

PAS-25-236 · National Institutes of Health

public health biomedical clinical ai data science mental behavioral health Education Health

Closes
2027-09-07 · 427 d
Award ceiling
$100,000
Award floor
Program funding
$100,000
Expected awards
Cost sharing
No
Posted
2024-12-16
Instrument
Grant
Characterization · gpt-5.4-mini · 2026-07-07

Small-scale NIH R03 projects that use emerging data science methods to answer addiction research questions or generate preliminary data, including clinical trial optional applications.

Funds
applied research
University
direct
social behavioral
substantial
physical sciences
minor
engineering
minor
life biomedical
central
computational data
central

⚑ R03 small grant; award ceiling $100,000 · Clinical Trial Optional · Addiction-related data science focus (NIDA) · Uses existing datasets encouraged; FAIR principles emphasized

Unit fits — one characterization, each unit's own rules

IPPRA 92 strong portfolio topics: public_health, mental_behavioral_health (primary); social/behavioral work is substantial; funds applied research
Physical Sciences & Engineering (demo) 90 strong technical depth: central; funds applied research
Tom Love Innovation Hub 30 weak funds applied research; deep-tech content

Description

Data science is an important cross-cutting research approach in the 2022 - 2026 NIDA Strategic Plan and increasing the capacity of experts in addiction related data science is critical. The purpose of this Notice is to facilitate the entry of investigators to the area of addiction-related data science, including newly independent data scientists or established investigators seeking to incorporate novel and cutting-edge data science methodologies into their research programs for the first time. Through this opportunity, investigators will propose to apply emerging data science methods to answer critical questions requiring advanced data analytic strategies. Projects should be small in scale and answer specific research questions or provide preliminary data for a larger scale project. Applicants are encouraged to use existing datasets, follow FAIR principles, and, when applicable, attend to ethical concerns in the conduct of research involving human subjects. Ultimately, the aim is to expedite the development of robust research programs focused on the convergence of innovative data science techniques and addiction research, with initial projects serving as precursors for subsequent, more expansive research projects.

Eligibility

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

Apply

View on Grants.gov → CONTACT: National Institutes of Health <grantsinfo@nih.gov>

Proposal brief

ONE LLM CALL (~1¢) · CACHED · REQUIRES STAFF KEY

Proposal shell · National Institutes of Health conventions

ONE LLM CALL (~2-3¢) · CACHED · SCAFFOLDING, NOT GHOSTWRITING