IPPRA / Grant Monitor

2026-09-06
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Maximizing the Scientific Value of Data Generated by the Environmental Influences on Child Health Outcomes (ECHO) Program: Ruth L. Kirschstein National Research Service Award (NRSA) Individual Postdoctoral Fellowship (F32)

RFA-OD-27-008 · National Institutes of Health

biomedical clinical public health ai data science social services Health

Closes
2026-12-02 · 87 d
Award ceiling
Award floor
Program funding
$1,260,000
Expected awards
8
Cost sharing
No
Posted
2026-05-28
Instrument
Grant
Characterization · gpt-5.4-mini · 2026-07-07

This NIH F32 funds postdoctoral fellows to analyze ECHO/DASH longitudinal child health data for studies of environmental influences on pediatric outcomes.

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

RESTRICTED TO: INDIVIDUALS FELLOWSHIP

⚑ NRSA Individual Postdoctoral Fellowship (F32); applicant is the individual fellow with sponsor/mentor, not the university. · Foreign organizations and foreign components are not allowed. · Uses existing ECHO/DASH repository data; no new data collection is implied.

28 / 100 IPPRA team judgment

This is an NIH postdoctoral fellowship centered on pediatric biomedical/public-health outcomes using ECHO cohort data, which is outside IPPRA’s core survey, risk perception, warning, energy, and education-policy lines. The team might contribute methodologically to secondary-data analysis, but this is not a plausible PI-level fit for any roster member.

JUDGED AGAINST THE ROSTER'S PUBLICATION DOSSIER · GPT-5.4-MINI · 2026-07-07

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

Physical Sciences & Engineering (demo) 80 strong technical depth: substantial; funds basic research
IPPRA 58 good peripheral portfolio topic: public_health; signature methods: surveys longitudinal; social/behavioral work is substantial; funds basic research; biomedical core — IPPRA health lane is communication/crisis/policy (capped)
Tom Love Innovation Hub 15 none deep-tech content; no commercialization signal

Description

This NOFO seeks to advance research and training in high-priority areas of child health by stimulating the use of Environmental Influences on Child Health Outcomes (ECHO) Cohort data by postdoctoral fellows from relevant scientific disciplines. This RFA will provide opportunities for fellows to study child health outcomes through the analysis of ECHO's large longitudinal data sets within the NICHD Data and Specimen Hub (DASH) repository. ECHO's DASH dataset integrates de-identified longitudinal data from more than 71,000 participants across the U.S. Prenatal and child exposure data include physical, chemical, social, behavioral, and biological factors. ECHO's five primary pediatric outcome areas are pre-, peri-, and postnatal outcomes, upper and lower airway, obesity, neurodevelopment, and positive health.

Eligibility

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International Collaborations:Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.

Apply

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

Proposal brief SEE AN EXAMPLE →

A one-page internal memo: fit assessment, submission requirements, document scaffold, and next steps dated back from the deadline — tailored to your project idea if you add one.

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

Proposal shell · National Institutes of Health conventions SEE AN NIH EXAMPLE →

Funder-faithful document skeletons — National Institutes of Health's document set with section headings, page limits, reviewer guidance, and writing prompts; add a project idea to get [DRAFT] starter bullets. Download as .md for Word or Overleaf.

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