The latest
in ARIES software development & model applications
ARIES releases a strategy to scale up knowledge sharing for better-informed policymaking
As part of the Basque Centre for Climate Change (BC3), ARIES, in collaboration with the United Nations publishes an interoperability strategy for the next generation of SEEA accounting. The document paves the way toward implementing and scaling up the semantic web...
Leveraging the ARIES for SEEA Explorer as a concrete approach for data and model interoperability in SEEA accounting
As part of the Basque Centre for Climate Change (BC3), ARIES is excited to present its latest publication: “Artificial Intelligence technology for rapid natural capital accounting: The ARIES for SEEA explorer.” Through our ongoing collaboration with natural capital...
A technical introduction to k.LAB: A semantic web platform for 21st-century science
Would you like to learn more about the innovative technology behind ARIES? With this comprehensive document, you can get an overview of the main components of k.LAB, an open-source software for modelling designed to integrate scientific data and models with the k.IM...
NOAA’s webinar recording: ARIES for ocean accounting
On July 20, 2021, from 6:00 pm - 7:00 pm CET, the National Oceanic and Atmospheric Administration (NOAA) held a webinar featuring ARIES’ work towards enabling Findable, Accessible, Interoperable and Reusable (FAIR), web-based data and model integration for ocean...
ARIES: An AI-powered platform addressing wild pollinators’ conservation for sustainable agriculture
Awareness of the importance of artificial intelligence (AI)-powered technologies and their role in achieving environmental sustainability has grown in parallel with research on the subject. Over the past months, ARIES has contributed to both by developing a pioneering...
Semantics and machine reasoning for ocean accounting
Next July 20, 2021 from 6:00 pm - 7:00 pm CET, the U.S. National Oceanic and Atmospheric Administration (NOAA) will hold a webinar featuring ARIES’ work towards enabling Findable, Accessible, Interoperable and Reusable (FAIR), web-based data and model integration for...
