# Leadership and Administrative Core (LAC)

> **NIH NIH P30** · UNIVERSITY OF FLORIDA · 2020 · $162,414

## Abstract

SUMMARY
The Leadership and Administrative Core (LAC) is responsible for strategic planning, organization,
administrative operations, and evaluation of the Older Americans Independence Center (OAIC) research and
training program. A special effort is devoted to ensure the cohesion of the Center and maintain an
interdisciplinary and translational research focus on the common research theme, which is “mobility and
prevention of disability.”
The key LAC tasks are achieved by the Core Leader and three committees. The Executive Committee, which
is composed of the OAIC core leaders, administers, governs, provides scientific guidance, and sets
productivity benchmarks for the OAIC. The External Advisory Board, which is composed of experts external to
the institution, reviews all OAIC activities and provides overall scientific guidance to the OAIC. The
Independent Review Panel, which is composed of ad hoc experts (at least one third external to the institution),
reviews proposed support for development projects, and pilot/exploratory studies. Taken together, the LAC
provides support for planning, organizational, evaluation, and administrative activities relating to the other
cores and to the OAIC as a whole. The LAC monitors, stimulates, sustains, evaluates, and reports progress
toward the overall goals of the OAIC.

## Key facts

- **NIH application ID:** 9899179
- **Project number:** 5P30AG028740-14
- **Recipient organization:** UNIVERSITY OF FLORIDA
- **Principal Investigator:** Marco Pahor
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $162,414
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9899179

## Citation

> US National Institutes of Health, RePORTER application 9899179, Leadership and Administrative Core (LAC) (5P30AG028740-14). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9899179. Licensed CC0.

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