CRIMA is a research project focused on building innovative tools to support climate and environmental risk assessment. It combines satellite Earth Observation (EO) data, scientific literature, climate models, and expert knowledge into a unified system designed to help users explore and understand complex environmental risks.
The project uses semantic technologies to link data and concepts, making it easier to query and interpret information. Artificial intelligence helps users interact with the system using natural language, while conceptual models like impact chains illustrate how climate hazards, vulnerabilities, and impacts are connected.
CRIMA aims to make this knowledge accessible to non-technical users so they can assess regional risks and plan adaptation strategies with confidence. The system will be validated in two real-world Alpine case studies: one focused on hydrometeorological events like floods and landslides, and one on long-term risks related to water scarcity.
CRIMA is funded by the European Regional Development Fund (FESR).