BioDT

Our goal is to push the current boundaries of predictive understanding of biodiversity dynamics by developing a Digital Twin providing advanced modelling, simulation and prediction capabilities. By exploiting in new ways existing technologies and data available across relevant research infrastructures, the BioDT project will be able to more accurately model interaction between species and their environment. Scientists at Research Infrastructures will be able to use the BioDT to 1) better observe changes in biodiversity, 2) relate these changes to possible causes, and 3) better predict effects of changes based on influences on these causes by either climate or human intervention. Our consortium brings together a dynamic team of experts in biodiversity, high performance computing, artificial intelligence and FAIR data to realise the first biodiversity Digital Twin prototype.

Standardisation of both data and services is essential for ensuring seamless, programmatic access to data for the technical platform. Our aim is to ensure progressive improvement in the quality and usefulness of the datasets with standards, interoperability and/or programmatic access.

Reason for applying to HSbooster.eu services

The project aims to engage with experts that can help them understand how standards and semantic rules can improve the FAIRness level of the biodiversity data managed by BioDT.