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BioDT: a Digital Twin for advanced simulation, modelling and prediction capabilities

Authors: Harrison, Jesse;

BioDT: a Digital Twin for advanced simulation, modelling and prediction capabilities

Abstract

BioDT: a Digital Twin for advanced simulation, modelling and prediction capabilities - Jesse Harrison, BioDT project manager & Senior Data Scientist at CSC The first BioDT webinar on 13 July 2022 presented the project's objectives and goals, and its interaction with the LUMI Supercomputer, fundamental for building its modelling and simulation capabilities. The discussion will pave the way for the four BioDT use case groups and how their development can help scientists in predicting future trends in the biodiversity field. The event gives also the opportunity to meet the people behind the project and to interact with them during a poll session and a panel discussion, focussed on analysing the role of biodiversity in the context of climate change and digital twins. Rewatch the webinar here: https://biodt.eu/events/webinar-biodiversity-digital-twin-protection-restoration-ecosystems

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Keywords

Digital Twin, Biodiversity

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Italian National Biodiversity Future Center