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The BioDT project aims to bring together a dynamic team of experts in biodiversity, High-Performance Computing, Artificial Intelligence, digital twinning and FAIR data to develop a Biodiversity Digital Twin prototype to push the current boundaries of predictive understanding of biodiversity dynamics. In order to present the work BioDT is bringing forward, the project team has organised its 1st webinar on 13 July 2022, with the aim of showing the project’s objectives and goals, and its interaction with the LUMI Supercomputer, fundamental for building its modelling and simulation capabilities. Watch the recording and download the slides
modelling, FAIR data, use cases, digital twin, biodiversity
modelling, FAIR data, use cases, digital twin, biodiversity
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). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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