SMART

Origins

From collaborations with RAI and UNIBO DISCI, in 2024 SMART project (Sensibilization and Mobilization for an Active Green Transition) was born. It is a feasibility study, funded by the European Space Agency (ESA), aimed at developing an AI-based innovative climate communication service. The project is designed to support the production of personalized and engaging multimedia content using EO data and other sources of knowledge.

The project

SMART (Sensibilization and Mobilization for an Active Green Transition), an ESA Space Solutions Kick-start activity led by MEEO, explores how Large Language Models (LLMs) can turn Earth Observation and climate data into engaging, accessible content for a wide range of audiences, from expert communities to the general public and younger generations.

The core challenge it addresses is shared across research institutions, media, and public administrations: communicating complex climate-related information and actions in a way that is clear, relevant, and actionable.

SMART is built around two complementary LLM-powered workflows. In the first, a semantic interface lets users query Earth Observation and climate data in natural language: drawing on satellite imagery, climate models, reanalysis outputs, and socio-economic data held in MEEO’s geospatial data management platform, an LLM generates tailored data visualisations on demand. In the second, a dedicated LLM produces communication and report material by combining these results with verified knowledge sources, returning clear, contextualised outputs to the user. Across both, content is personalised to each user’s interests, context, and level of knowledge, with real-time relevance that links current events to long-term climate trends. The activity completed its technical and economic feasibility and defined an implementation roadmap towards a proof of concept, service customisation, and demonstration.