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Speakers: Prof Ferdinando Villa, Ikerbasque Research Professor, and Dr Stefano Balbi, Research Fellow, Basque Centre for Climate Change
In the digital age, we need scientific data and models to be FAIR – Findable, Accessible, Interoperable, and Reusable – to help individuals, businesses, and governments make informed decisions. A fully connected information landscape using open, safe, accurate “Wikipedia-like” sharing and linking of data and models can enable data-intensive science, management and governance on a scale yet unimagined.
In the last years, the ARIES (ARtificial Intelligence for Ecosystem Service) platform has become the most promising application of a semantically integrated modeling technology, automatically assembling the ecosystem service models that offer the most context-accurate view of each human-natural systems under investigation.
Using ARIES as an example, Ferdinando Villa will describe the main pillars of innovation for semantic modeling:
Open, linkable data and models
Stefano Balbi will illustrate examples of socio-environmental applications that the described approach would facilitate, including the modeling of: (a) environmental human migration, (b) the sustainable development goals (SDGs), (c) risk to environmental defenders.
Lastly, they will give an early preview of the fledgling Integrated Modeling Partnership, bringing together institutions that will contribute to designing and building a fully integrated information landscape for the science of the future.