The research conducted within our programme covers a wide range of topics and projects, focused on addressing the challenges and opportunities in sustainable finance through the use of NLP techniques.
Our research activities include, amongst others:
Net Zero Targets and Transition Pathways
Identification of relevant disclosure items and compliance with disclosure standards
Examining ambition and tracking progress
Enabling investors and financial supervisors to monitor the quality of plans, identify inconsistencies, and track implementation progress
Greenwashing
Comparing corporate disclosures with real activities
Identifying discrepancies and inconsistencies between sustainability claims and actions
Ensuring greater transparency and accountability in the sustainable finance sector
Climate Litigation
Making NLP-informed legal cases
Analyzing legal documents and extracting relevant information to identify patterns, trends, and strategies
Strengthening legal arguments in support of climate-related lawsuits
Regulatory Compliance and Supervision
Automating the assessment of disclosure compliance with regulations and reporting requirements
Identifying inconsistencies to inform supervisory dialogues with financial institutions
Informing prudential regulation and financial stability supervision
Science in Finance
Developing NLP techniques to make complex scientific data accessible and digestible for non-scientists
Integrating climate science and biodiversity research into financial decision-making
Facilitating the incorporation of climate pathways and nature-related issues into investment strategies and risk assessments
Spatial Finance
Mapping and characterizing the world’s most polluting assets using NLP and other AI technologies
Extracting information and knowledge by looking into newspapers, reports, and satellite images
Developing novel AI algorithms for developing asset-level databases