ARIES: Artificial Intelligence for Environment & Sustainability

The ARIES project seeks to assess environmental sustainability using highly flexible and customizable data and models served on the semantic web. Like all applications of the k.LAB/k.IM modelling approach, we integrate multiple modelling paradigms (e.g., process models, agent-based models, Bayesian networks, lookup tables) to quantify the supply, use, and flow of ecosystem services, and improve the reusability of data related to ecosystem services.

ARIES has been used around the world – for example, to assess food and water security in Africa, cultural ecosystem services in the Himalayas, ridge-to-reef ecosystem services in Hawaii, and national environmental-economic accounts in the United States and Europe.

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