This infographic video has been produced by BC3- Basque Centre for Climate Change to graphically illustrate an introduction TO k.LAB and Integrated Modelling for non-technical audiences. We present the Philosophy embracing the FAIR principles and the Technology behind a cutting edge modelling environment for Knowledge Integration. K.LAB is a web accessible software that uses the meaning of information, its semantics, to integrate knowledge through Artificial Intelligence and builds computational solutions to environmental, policy and sustainability problems. Through this modelling environment, researchers can contribute knowledge from their discipline and seamlessly connect it to the knowledge generated by others through the use of shared semantics. The result is a powerful tool where users can enter their queries and k.LAB is able to select the most appropriate knowledge available building for the first time new knowledge from the integration of the existing one.
Un proyecto liderado por Ferdinando Villa, investigador Ikerbasque y responsable de la plataforma de investigación e innovación ARIES del centro de excelencia en investigación Basque Centre for Climate Change (BC3) ha desarrollado una tecnología pionera para contabilizar el capital natural de forma rápida por parte de los gobiernos.
Basque Centre for Climate Change (BC3), in collaboration with the Basque Center for Applied Mathematics (BCAM) are organizing the “AI for the Wellbeing and Sustainability of Societies” course.
The learning program, which will be held virtually on 9-11 June, 2021, will be part of a series of summer courses offered by the University of the Basque Country (UPV/EHU).
Artificial Intelligence for Ecosystem Services (ARIES) has been mane as one of the top 5 most promising Artificial Intelligence projects based in Spain by the “AI and Spain’s climate change and decarbonisation agenda” report published by Digital Future Society.
Financiado por el Ministerio de Ciencia Innovación y Universidades y la Agencia Estatal de Investigación,
a través de la Convocatoria: Maria de Maeztu 2017 (BOE 21/10/2017) siendo la referencia de nuestro expediente: MDM-2017-0714
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