# Core A: Administrative Core

> **NIH NIH U19** · ALBERT EINSTEIN COLLEGE OF MEDICINE · 2022 · $77,392

## Abstract

The overarching goal of the Prometheus consortium is to develop antibody-based
prophylactics and therapeutics against three major groups of Category A priority viruses
that cause zoonotic disease—ebolaviruses, the nairovirus Crimean-Congo hemorrhagic fever
virus (CCHFV), the New-World hantaviruses Andes virus (ANDV) and Sin Nombre virus (SNV),
and the Old-World hantavirus Puumula virus (PUUV). The Administrative Core, Core A, will serve
as the hub for Prometheus, providing governance, personnel, and resources for all program
management arms, including administrative, financial, performance monitoring and reporting,
compliance, project and team coordination, internal and external communication, resource and
change management, and intellectual property management. Albert Einstein College of Medicine
(Einstein) will serve as the lead institution for the Prometheus CETR and bear overall
responsibility for its performance. To achieve these goals and advance Prometheus’s strategic
research plan, we will develop and implement plans to: (1) organize, oversee, monitor, and report
Prometheus activities; (2) foster team interaction and coordination; (3) communicate the CETR’s
mission and activities to the scientific community and the public; and (4) manage travel, conflict,
change, risk, intellectual property, and resources and reagents.

## Key facts

- **NIH application ID:** 10335805
- **Project number:** 5U19AI142777-04
- **Recipient organization:** ALBERT EINSTEIN COLLEGE OF MEDICINE
- **Principal Investigator:** Kartik Chandran
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $77,392
- **Award type:** 5
- **Project period:** 2019-02-14 → 2024-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10335805

## Citation

> US National Institutes of Health, RePORTER application 10335805, Core A: Administrative Core (5U19AI142777-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10335805. Licensed CC0.

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