# Enhancing Diversity through IHSAN (Interdisciplinary Health disparities and data Science trAiNing)

> **NIH NIH U24** · MOREHOUSE SCHOOL OF MEDICINE · 2021 · $355,000

## Abstract

PROJECT SUMMARY/ABSTRACT
To address the gap in expertise in data science in some RCMI U54 Centers, we propose
developing a coordinated RCMI Data Science Initiative with two goals: (1) Upskilling RCMI
investigators in data science, including tools, methods, and best practices with a focus on
reproducible data analysis and effective knowledge mobilization around health disparities and (2)
Incentivizing collaborations at the nexus of data science and health disparities between
investigators within and outside of the RCMI consortium. Our specific aims are:
1. To enhance the data science capacity of RCMI investigators across the RCMI
consortium by collaboratively developing a project-based curriculum and organizing workshops
introducing data science fundamentals and tools as well as NIH-funded resources and datasets
relevant to minority health disparities. Investigators will learn how to access data from the All of
Us research workbench, link it to community-level datasets available on Google’s Cloud
Platform, create visualizations, build and evaluate machine learning models, and upload
replication files into a repository using R, SQL, and Git.
2. To stimulate data science collaborations across U54 centers as well as between U54
and non-RCMI institutions by organizing Data Science and Health Disparities Demo Days and
launching Enrichment awards to support development of collaborative research projects. Our
goal is to provide financial support to develop promising research collaborations into proposals
for pilot funding.
Our long term goal is to leverage existing partnerships with the Atlanta University Center (AUC)
Data Science Initiative, the Georgia CTSA, and the National Research Mentoring Network
(NRMN) to build a well-coordinated infrastructure to support collaboration between RCMI and
non RCMI investigators, and train the next generation of diverse investigators leveraging
advances in data science and machine learning to address minority health and health disparities
in the 21st century.

## Key facts

- **NIH application ID:** 10452040
- **Project number:** 3U24MD015970-02S1
- **Recipient organization:** MOREHOUSE SCHOOL OF MEDICINE
- **Principal Investigator:** Elizabeth O. Ofili
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $355,000
- **Award type:** 3
- **Project period:** 2020-09-08 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10452040

## Citation

> US National Institutes of Health, RePORTER application 10452040, Enhancing Diversity through IHSAN (Interdisciplinary Health disparities and data Science trAiNing) (3U24MD015970-02S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10452040. Licensed CC0.

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