# Community Engagement Core

> **NIH NIH U54** · TUSKEGEE UNIVERSITY · 2024 · $544,991

## Abstract

PROJECT SUMMARY
 The proposed project seeks to leverage our extensive network of community partners within
 the Black Belt region with the cancer genomic research and obesity studies proposed by RCMI
 scholars to provide a multilevel evidence-based study that creates a data base that combines
 genomic indicators with SDOH factors that will allow for more precise treatment modalities for
 African American and Latinx populations residing the Black Belt regions.
 The Community Engagement Core (CEC) advances methods for stimulating research
 participation, recruitment, and participant retention through collaboration between community
 residents and the RCMI research team. The CEC will implement the Total Cancer Care
 Connect (CCC) Model to support the RCMI researchers and synergize data across Cores
 utilizing the PhenX survey and social determinant of health indicators. The CEC will leverage
 resources from community organizations to form a mutually effective link between CEC team
 members and Black Belt Counties of Alabama. In addition, the CEC will engage undergraduate
 and graduate students in education dissemination, social media marketing, and community-
 based research methodologies that will equip them to pursue health disparities research as a
 form of community activism and civic responsibility.

## Key facts

- **NIH application ID:** 10933025
- **Project number:** 5U54MD007585-33
- **Recipient organization:** TUSKEGEE UNIVERSITY
- **Principal Investigator:** Vivian L Carter
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $544,991
- **Award type:** 5
- **Project period:** 1997-07-07 → 2028-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10933025

## Citation

> US National Institutes of Health, RePORTER application 10933025, Community Engagement Core (5U54MD007585-33). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10933025. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*