Innovation Environment Health Biodiversity Climate and Mobility

Identify, normalize, aggregate, structure, correlate and georeference Arpa Sicilia's environmeintal data, so that they can be used as input in advanced predictive algorithms, also based on artificial intelligence and "quantum machine learning", for the prediction of health effects through the analysis of environmental data and give comprehensive answers to citizens. In particular, it intends to: Activate research programs on health risks associated with environmental determinants and climate change; Implement tools, technologies, skills, infrastructures and professionalism that can make the Agency, by 2026, a renewed, digitized and networked regional structure: Implement an integrated intervention of health, environment and climate, at regional level in a contaminated site of national interest; Launch Applied Research Programs with multidisciplinary approaches in specific intervention areas of health, environment and climate and mobility, also through the activation/implementation of new research systems and correlation of environmental information.