Research Areas
Research Areas
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