Imagine having a high-tech flight simulator, but for nature. Instead of planes, it simulates how plants and animals react to pollution and climate change using supercomputers. It helps us predict the future of our environment so we can stop nature from disappearing before it's too late.
Companies and governments struggle to predict how climate change and pollution will impact biodiversity, which threatens food security and resource management. Existing data is often fragmented, poor quality, or not machine-readable.
A technical platform featuring 9 prototype Digital Twins, open-source simulation pipelines, and a pilot service for FAIR semantic data mapping.
If you are a precision farming provider dealing with declining crop yields due to pollinator loss — this project developed prototype Digital Twins that simulate species responses to environment changes. This allows for better prediction of how biodiversity shifts affect food security.
If you are a consultancy dealing with complex biodiversity reporting for corporate clients — this project developed a technical platform with open source components. It provides tools for monitoring ecosystem health and relating changes to specific human causes.
If you are a land manager dealing with the EU Biodiversity Strategy 2030 targets — this project developed simulation and prediction pipelines. These tools help predict the effects of human intervention on local species to ensure rational resource management.
Based on available project data, the technical platform components are released under an open source license to ensure sustainability and wide availability.
The project leverages world-class supercomputers like LUMI and Karolina, indicating the capacity to handle large-scale, data-intensive simulations.
The project explicitly mentions that components and integrations forming the technical platform are released with an open source license.
It integrates with research infrastructures and uses FAIR Digital Objects to ensure that heterogeneous data is machine-actionable and interoperable.
The project period runs from 2022-06-01 to 2025-05-31, with prototypes already deployed during this window.
The consortium is heavily weighted toward research and academia, with 9 universities and 7 research institutes. However, there is a 14% industry presence consisting of 3 companies, including 3 SMEs. This structure suggests the project is primarily focused on technological feasibility and scientific advancement rather than immediate commercial productization.
Contact CSC-Tieteen Tietotekniikan Keskus Oy in Finland
Contact us to explore how to integrate these open-source biodiversity twins into your ESG strategy.
