# Buckeye Otolaryngology Surgeon-Scientist Training (BOOST) Program

> **NIH DC R25** · OHIO STATE UNIVERSITY · 2026 · $207,624

## Abstract

A sustained decline in practicing surgeon–scientists has been identified as a major contributor to the bench-to-bedside translation gap in otolaryngology. This R25 program directly addresses these barriers by implementing an interdisciplinary, structured, and holistic training program designed to launch successful, self-sustaining careers in a cohort of next-generation otolaryngology surgeon–scientists.
The program will achieve this goal through three integrated objectives: (1) recruitment of a cohort of medical students and otolaryngology residents with strong potential for academic research careers; (2) delivery of a comprehensive training curriculum encompassing research methods, outcomes research, statistics, team science, scientific communication, grant writing, wellness, and professional development; and (3) creation of an interdisciplinary and collaborative research environment that supports mentorship, team-science, and long-term career sustainability.
By leveraging Ohio State University’s extensive translational research infrastructure, interdisciplinary faculty expertise, and trainee wellbeing, this program aims to strengthen the otolaryngology surgeon–scientist pipeline and advance NIDCD-relevant research across the lifespan.

## Key facts

- **NIH application ID:** 11267354
- **Project number:** 1R25DC023185-01
- **Recipient organization:** OHIO STATE UNIVERSITY
- **Principal Investigator:** Oliver Franz Adunka; Emily Kate Plowman
- **Activity code:** R25 (R01, R21, SBIR, etc.)
- **Funding institute:** DC
- **Fiscal year:** 2026
- **Award amount:** $207,624
- **Award type:** 1
- **Project period:** 2026-04-01T00:00:00 → 2031-03-31T00:00:00

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11267354

## Citation

> US National Institutes of Health, RePORTER application 11267354, Buckeye Otolaryngology Surgeon-Scientist Training (BOOST) Program (1R25DC023185-01). Retrieved via AI Analytics 2026-07-13 from https://api.ai-analytics.org/grant/nih/11267354. Licensed CC0.

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