ESG-AI Models

Developing AI-driven ESG compliance and impact assessment models for maritime operations.

Overview

ESG-AI Models leverage AI to automate compliance checks, assess environmental and social impact, and streamline sustainability reporting for maritime stakeholders. These models analyze operational, sensor, and regulatory data to provide actionable ESG metrics aligned with global standards like IMO, EU MRV, and Poseidon Principles.

Overview

Objectives

Focused goals of the research

Automated ESG Compliance

Monitor and report compliance with environmental regulations such as MARPOL and EEXI automatically.

Sustainability Impact Scoring

Quantify the environmental and social impact of fleet operations using real-time and historical data.

Carbon & Emission Auditing

Generate accurate, verifiable carbon footprint and emission profiles for each voyage or asset.

Methodology

Step-by-step approach driving our exploration

1

Ingest data from AIS, fuel logs, sensors, and regulatory APIs.

2

Classify operations using AI models for emissions and safety categorization.

3

Map voyage profiles against ESG frameworks (EU MRV, CII, SEEMP, etc.).

4

Use NLP to extract insights from textual audit and port reports.

5

Deploy scoring engines to generate ratings across E, S, and G dimensions.

Applications

Where our research is making an impact

Real-Time Compliance Dashboards

Allow fleet managers to track MARPOL and MRV breaches instantly.

ESG Report Generators

Auto-generate audit-ready reports for stakeholders and regulators.

Carbon Risk Scoring

Support green finance and insurance models with verifiable emissions data.

Collaborators & Partners

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Findings & Insights

Automated compliance reporting reduced manual effort by 72%.

Voyage-level emissions tracking showed 96% correlation with onboard records.

ESG-AI detected 34% more compliance deviations than rule-based systems.

Green financing eligibility metrics were improved by 41% in trials.

Fleet-wide sustainability scores led to better charter negotiation outcomes.

Publications & Citations

AI in Maritime ESG Compliance – Marine Policy Insights 2024

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Deep Learning for Emissions Profiling – Environmental AI Review 2023

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Benchmarking ESG Impact in Shipping – Poseidon Tech 2022

Abstract and link details here…

Maritime NLP Applications in ESG – Journal of Sustainable Computing 2024

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