# Biomedical Data Science Innovation Labs: An Intensive Research Project Development Program

> **NIH NIH R25** · UNIVERSITY OF VIRGINIA · 2022 · $485,838

## Abstract

Abstract:
This IPERT R25 application will formalize and expand upon a series of unique Biomedical Data Science
Innovation Lab online and in-person workshops whose immersive and hands-on approach will accelerate the
ability of early-career biomedical and quantitative investigators to form new collaborations around biomedical
science projects. Each year a distinct biomedical topic will be specifically identified which would benefit from a
fresh or divergent data science perspective. During the Biomedical Data Science Innovation Lab events,
professional facilitators and senior scientist mentors (with relevant expertise and exposure to the topic area)
assist the participants - guiding the development of innovative research project proposals. The primary purpose
of the facilitators is to build the community, strengthen the bonds between the participants, and help the teams
to form. Program directorship will provide leadership, continuity, and logistical support, while other stakeholders
provide vision, expertise, and ongoing program feedback. Senior faculty mentors will contribute topic background
and data science applications while also providing oversight and feedback on the development of new projects.
Early-career investigators (at the post-doc, assistant to newly associate professor level, research and tenure
track) from quantitative (including but not limited to applied and/or theoretical mathematics, statistics, computer
science, physics, and engineering) and biomedical fields (including but not limited to biological, biophysical,
epidemiological, and clinical disciplines) will be welcomed to submit applications. A broad diversity of
backgrounds is desired with women and members of underrepresented communities encouraged to apply.
Throughout the year-long program, participants will benefit directly from explicit skills training in data science
methods, reproducibility, Team Science, responsible conduct in research, and will learn about research funding
mechanisms directly through interaction with NIH and NSF program officers. Participants will form
multidisciplinary teams during the in-person workshop to develop biomedical topic domain projects involving
mathematical modeling, statistical analytics, and other quantitative methods. Upon completion of the workshops,
follow-up virtual activities will solidify teams and their research proposals as grant applications suitable for
submission to federal and private funding agencies. Rigorous assessment and characterization of skills training
activities as well as team effectiveness using emerging Science of Team Science-based approaches will strictly
pursued. A rich program for dissemination of workshop activities includes broad-based outreach, a detailed
website, and the development of professional-grade visual media and materials. With a well-suited team and a
track record of prior success, this is a novel program for research community building, fully aligned with the goals
of the IPERT R25 program...

## Key facts

- **NIH application ID:** 10476419
- **Project number:** 5R25GM139080-03
- **Recipient organization:** UNIVERSITY OF VIRGINIA
- **Principal Investigator:** John Darrell Van Horn
- **Activity code:** R25 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $485,838
- **Award type:** 5
- **Project period:** 2020-09-16 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10476419

## Citation

> US National Institutes of Health, RePORTER application 10476419, Biomedical Data Science Innovation Labs: An Intensive Research Project Development Program (5R25GM139080-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10476419. Licensed CC0.

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