# Administrative Core

> **NIH NIH P01** · UNIV OF MARYLAND, COLLEGE PARK · 2020 · $236,564

## Abstract

ABSTRACT: ADMINISTRATIVE CORE (CORE A)
Age-related hearing loss (ARHL) affects the majority of people over 65 years. Older people
typically experience difficulty understanding speech in various degraded environmental
conditions and the speech of atypical talkers, but hearing aids provide only limited benefit in
these conditions. However, a renewed focus on auditory and cognitive training paradigms holds
great promise for improving everyday communication by senior citizens. The overall objective
of this Program Project Grant is to bring together 9 highly talented and productive investigators
who use a range of methodologies and models to study the impact of auditory and cognitive
training on neural plasticity in the central auditory nervous system. The Administrative Core
provides leadership and administrative support for the entire program with three specific aims:
1) Provide scientific oversight and cohesion across the projects; 2) Facilitate collaboration
among investigators across the three projects, including dissemination of joint publications; and
3) Manage resources in an equitable manner. Smooth, efficient administrative operation and
engaged communication will enable investigators to devote their efforts to the scientific
objectives of their respective projects and the common, cross-cutting ideas of the program
project as a whole.

## Key facts

- **NIH application ID:** 9962260
- **Project number:** 5P01AG055365-04
- **Recipient organization:** UNIV OF MARYLAND, COLLEGE PARK
- **Principal Investigator:** Sandra M Gordon-Salant
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $236,564
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9962260

## Citation

> US National Institutes of Health, RePORTER application 9962260, Administrative Core (5P01AG055365-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9962260. Licensed CC0.

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