Main funder

Funder's project number: 101057437

Funds granted by main funder (€)

  • 462 818,00

Funding program

Project timetable

Project start date: 01/06/2022

Project end date: 31/05/2025


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. This will drive new science
that creates more effective and realistic scenarios of future biodiversity and help policy makers shape
science driven biodiversity policy to protect habitats and their species. BioDT will provide a crucial
infrastructure to assist long-term strategic research for biodiversity and contribute to research-based
options for ratcheting up the implementation of biodiversity policies and commitments.
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. It combines
the unique potential of the flagship EuroHPC LUMI computing infrastructure to the scientific expertise
and data of a set of research infrastructures and researchers from various disciplines and across several
application domains such as environmental and earth science, climate science, ecology, marine biology,
genomics, natural history, biodiversity informatics, computer sciences, and mathematics / statistics. These
domains are represented by the four most active and important European research infrastructures in
biodiversity and ecosystem research (GBIF, eLTER, DiSSCo, and LifeWatch) which have directly joined
the consortium in this capacity, and partners contributing from their own scientific domain. With the
current consortium and application domains, we can cover the entire biodiversity ecosystem on land,
water and air, and combine species data with e.g. climate and genomics data.
Our goal is also to position the BioDT prototype and its infrastructure as a key component

Principal Investigator

Primary responsible unit

Last updated on 2023-05-01 at 08:24