AI Applications in the Measurement, Reporting, and Verification Frameworks

Our research explores how AI can enhance the accuracy, efficiency, and transparency of sustainability reporting.

Natural Language Processing (NLP) & Sentiment Analysis: Utilizing NLP and sentiment analysis techniques to extract relevant information from unstructured documents, such as corporate reports, news articles, and social media, to assess a company’s environmental impact and sustainability efforts.

Carbon Accounting: Using AI to calculate and track carbon emissions, and to identify emission reduction opportunities for organizations, supply chains, and industries.

Stakeholder Engagement: Investigating AI tools for analyzing stakeholder feedback and sentiment, helping companies understand public perceptions of their sustainability efforts and make adjustments accordingly.