# UCLA ACE Administrative Core

> **NIH NIH U19** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2024 · $81,496

## Abstract

PROJECT SUMMARY / ABSTRACT (ADMINISTRATIVE CORE)
The Administrative Core provides critical infrastructure and services that support the proposed ACE research
program. The overall goals are to maximize the productive research potential of all Projects and Cores through
clear delineation of organizational structure and ensure the timely completion of goals of this program. This Core
will take advantage of the administrative leadership of Maureen Su (PI and Admin Core Lead) and Alexis
Stephens (Senior Clinical Research Coordinator). Ms. Stephens brings a wealth of experience in multi-project
program management and clinical studies to her role. The Core’s mission is described in 3 Aims. In Aim 1, we
will delineate a clear organizational structure of management and organization to best support each core and
project. In Aim 2, we will ensure that defined milestones are being met, including regulatory compliance, record
keeping, reporting, publications, and fiscal accountability. In Aim 3, we will establish a conflicts resolution system
to identify problems and set a culture of collaboration. This will involve frequent and transparent communication
with the NIAID, as well as an innovative patient partnership program. Thus the Administrative Core will be an
integral part of our ACE.

## Key facts

- **NIH application ID:** 10845207
- **Project number:** 1U19AI181729-01
- **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES
- **Principal Investigator:** Maureen A Su
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $81,496
- **Award type:** 1
- **Project period:** 2024-09-10 → 2029-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10845207

## Citation

> US National Institutes of Health, RePORTER application 10845207, UCLA ACE Administrative Core (1U19AI181729-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10845207. Licensed CC0.

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