# Integrated Health Sciences Facility Core (IHS)

> **NIH NIH P30** · RBHS-SCHOOL OF PUBLIC HEALTH · 2020 · $254,770

## Abstract

ABSTRACT: INTEGRATED HEALTH SCIENCES FACILITY CORE
 The mission of CEED is to improve human health through translational research using emerging science,
engineering, and technology to determine how the environment, genome and epigenome interact to modulate
the risk of adverse health outcomes. The Integrated Health Sciences Facility Core (IHSFC) plays a central role
in achieving this research mission of the CEED as the nexus for the Center’s interdisciplinary and translational
research. The IHSFC facilitates dialog among CEED members from different disciplines and provides guidance
and training in design and implementation of studies in population (observational) and clinical epidemiology. It
provides expertise in a wide range of methodologies including controlled exposure, survey research, controlled
trials, and clinical panel studies of novel biomarkers. The IHSFC is also the portal for biostatistics, data
management, archiving, and security. It also provides expertise and support for human subjects protection
including IRB and HIPAA compliance. The Core synergizes with our Community Engagement Core (CoEC),
through overlapping faculty and staff, to support participatory research and identify opportunities for
recruitment by the IHSFC.

## Key facts

- **NIH application ID:** 10220184
- **Project number:** 3P30ES005022-33S1
- **Recipient organization:** RBHS-SCHOOL OF PUBLIC HEALTH
- **Principal Investigator:** HOWARD M KIPEN
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $254,770
- **Award type:** 3
- **Project period:** 1997-04-01 → 2024-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10220184

## Citation

> US National Institutes of Health, RePORTER application 10220184, Integrated Health Sciences Facility Core (IHS) (3P30ES005022-33S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10220184. Licensed CC0.

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