# Project SEAMIST (South East Area Maritime Industry Safety Training)

> **NIH NIH U45** · NOVA SOUTHEASTERN UNIVERSITY · 2020 · $200,000

## Abstract

Project SEAMIST, a WTP awardee with primary responsibility for the training of workers in the
maritime industries and community for hazardous chemical safety and response, proposes to
provide this essential worker community with critical training in awareness and safe working
habits in response to the current COVID19 outbreak. Project SEAMIST will deliver, via
established, facilitated online procedures, COVID19 training, as developed and provided by the
NIEHS WTP, with local optimization and adaptation for our maritime clientele. Project
SEAMIST has identified a marketing agent, Resolve Maritime Academy, and client industries
including ship and port workers, warehouse employees and freight forwarders, who have
expressed a need for such training. In addition, Project SEAMIST has identified an expert
collaborator, Dr. Alex Isakov, previously leader of a WTP infectious diseases program, to act as
a subject matter expert and facilitator in the delivery of this training. Dr. Isakov’s program was
largely performed online, and while Nova Southeastern University has extensive experience
delivering online learning, we welcome Dr. Isakov’s input into trainings in this critical subject.

## Key facts

- **NIH application ID:** 10223473
- **Project number:** 3U45ES019350-11S1
- **Recipient organization:** NOVA SOUTHEASTERN UNIVERSITY
- **Principal Investigator:** Darren Cohen
- **Activity code:** U45 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $200,000
- **Award type:** 3
- **Project period:** 2010-08-17 → 2022-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10223473

## Citation

> US National Institutes of Health, RePORTER application 10223473, Project SEAMIST (South East Area Maritime Industry Safety Training) (3U45ES019350-11S1). Retrieved via AI Analytics 2026-06-03 from https://api.ai-analytics.org/grant/nih/10223473. Licensed CC0.

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