Artificial Intelligence & Marine Environmental Policy

About the Project

This project aims to advance AI-driven regulatory compliance in marine environmental policies, focusing on marine pollution and biodiversity regulation.

Project Objectives

• Identify priority areas in marine pollution and biodiversity regulation via expert workshops.
• Develop AI-driven compliance monitoring systems using Large Language Models.

Methodology

The project employs a structured two-phase approach:

• Phase 1: Stakeholder workshops to refine regulatory focus.
• Phase 2: AI-based compliance monitoring system development.

Timeline & Deliverables

Key milestones:

• March 2025: Stakeholder Workshop
• April 2025: Workshop Outreach Report & AI System Development
• Dec 2025: Submission of Project Results for Publication

News

February 25, 2025: The project has been approved for funding under the ELS Academy Early Career Grants Scheme.