OCEANIDS participated in the Impacts Conference 2026, hosted by Climes – Swedish Centre for Impacts of Climate Extremes, where project activities related to climate risk and data-driven analysis were presented. The conference brought together researchers and practitioners working on the impacts of climate extremes, providing a platform for exchange on methodologies, tools, and emerging approaches to understanding and managing climate-related risks.
The work presented focused on the development of an LLM-constructed database of natural disaster impacts, carried out within the OCEANIDS project. This approach explores how large language models can support the curation and structuring of information related to the societal impacts of natural hazards. By combining automated content extraction with structured data organisation, the methodology aims to produce a reliable and accessible knowledge base that can support research, risk assessment, and evidence-based decision-making processes.
The presentation contributed to ongoing discussions on the role of artificial intelligence in climate risk analysis, particularly in improving the availability and usability of impact-related data. It also highlighted the potential of AI-assisted workflows to address existing gaps in fragmented or unstructured information, enabling more comprehensive insights into the consequences of natural hazards across different regions and contexts.
The session generated strong engagement from participants, leading to exchanges on the applicability of such approaches for disaster impact analysis and broader climate research. These discussions underline the growing interest in integrating advanced data processing techniques into environmental and risk-related domains. In this context, OCEANIDS continues to contribute to the development of innovative, data-driven solutions that support more informed and resilient responses to climate challenges.
