# HCHDS Administrative Core

> **NIH NIH U54** · JOHNS HOPKINS UNIVERSITY · 2021 · $83,334

## Abstract

PROJECT SUMMARY 
The Hopkins Center for Health Disparities Solutions seeks to explore and address the impact of 
place-based determinants in health disparities among African Americans. The Administrative 
Core of the Hopkins Center for Health Disparities Solutions is responsible for all administrative 
aspects of the Center. It will oversee, support and evaluate the activities of the research 
projects, investigator development core and the community engagement and dissemination 
core. The Administrative Core consists of four components: the Research Project Management 
Team, the Career Development Program, the Research Methods Support Team and the 
Research Center Staff. The Research Project Management Team oversees the three major 
research projects. The Career Development Program provides activities for the Health 
Disparities Scholars, and other postdoctoral fellows, junior faculty members, and early career 
investigators who are interested in health disparities research. The Research Methods Support 
Team are senior Center faculty members who will be available to meet with the Health 
Disparities Scholars, and other postdoctoral fellows, junior faculty members, and early career 
investigators and advise them on the study design and methods. The Research Center Staff will 
provide computer programming and data analysis support.

## Key facts

- **NIH application ID:** 10399489
- **Project number:** 3U54MD000214-20S1
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Darrell J. Gaskin
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $83,334
- **Award type:** 3
- **Project period:** 2002-09-22 → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10399489

## Citation

> US National Institutes of Health, RePORTER application 10399489, HCHDS Administrative Core (3U54MD000214-20S1). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10399489. Licensed CC0.

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