BioDT Digital Twin

BioDT Digital Twin

free

BioDT develops prototype digital twins using AI and HPC to predict how biodiversity responds to global change, supporting ecosystem protection and restoration.

About

BioDT (Biodiversity Digital Twin) is a cutting-edge European research project that develops prototype digital twins to model, simulate, and predict biodiversity responses to global change. Powered by the LUMI Supercomputer and built on FAIR (Findable, Accessible, Interoperable, Reusable) data principles, BioDT integrates advanced AI, predictive modeling, and high-performance computing to create virtual representations of complex ecological systems. The platform hosts a growing suite of prototype Digital Twins spanning multiple biodiversity domains: Forest and Grassland Biodiversity Dynamics, Real-time Bird Monitoring using citizen-science data, Disease Outbreak modeling, Honey Bee dynamics in agricultural landscapes, Crop Wild Relatives, DNA metabarcoding, Phylogenetic Diversity, and Invasive Alien Species tracking. BioDT's technical platform is designed for deployability across multiple sites, offering well-defined APIs and workflow orchestration through LEXIS using HPC and cloud containers. It facilitates seamless integration of data from research infrastructures and enables domain scientists to build and run biodiversity workflows with minimal complexity. The initiative is aimed at researchers, ecologists, policymakers, and environmental scientists who need reliable, data-driven insights to address biodiversity loss. By aligning with EU biodiversity policy goals and Destination Earth initiatives, BioDT positions itself as a foundational tool for science-based conservation strategy and ecological restoration at scale.

Key Features

  • Prototype Biodiversity Digital Twins: A suite of 10+ domain-specific digital twins covering forests, grasslands, birds, disease outbreaks, invasive species, bees, and more.
  • LUMI Supercomputer Integration: Leverages one of Europe's most powerful HPC systems to run large-scale biodiversity simulations and predictive models.
  • FAIR Data & Open APIs: Built on FAIR data principles with well-defined APIs enabling interoperability across research infrastructures and deployable at multiple sites.
  • Real-time Monitoring: Incorporates real-time citizen-science data for live bird monitoring and other dynamic ecological observations.
  • AI-Driven Predictive Modeling: Uses machine learning and AI solutions to model species responses, ecosystem services, and biodiversity threats under various change scenarios.

Use Cases

  • Simulating the impact of climate change on forest and grassland biodiversity to guide conservation planning.
  • Tracking real-time bird population dynamics using aggregated citizen-science observations.
  • Modeling disease outbreak risks among wildlife populations to inform early warning and policy response.
  • Assessing invasive alien species spread and ecological impact across European landscapes.
  • Supporting EU biodiversity policy development with data-driven evidence from predictive ecosystem models.

Pros

  • Comprehensive Ecological Coverage: Covers a wide range of biodiversity domains in a single platform, from genetic diversity to landscape-level species interactions.
  • Science-Policy Alignment: Directly aligned with EU biodiversity policy goals and Destination Earth, making outputs highly relevant for evidence-based conservation policy.
  • Open & Interoperable Infrastructure: FAIR data standards and open APIs ensure the platform integrates easily with existing research infrastructure and workflows.

Cons

  • Primarily Research-Oriented: Designed for scientists and ecologists; less accessible for non-technical users or organizations without research backgrounds.
  • Still in Prototype Phase: Digital twins are prototype implementations and may not yet be production-ready for all operational use cases or policy decisions.

Frequently Asked Questions

What is a Biodiversity Digital Twin?

A Biodiversity Digital Twin is a virtual, data-driven representation of an ecosystem or species population that simulates real-world dynamics, allowing scientists to predict how biodiversity responds to environmental changes.

Who is BioDT designed for?

BioDT is primarily designed for researchers, ecologists, data scientists, and policymakers who need AI-driven, evidence-based tools to study and protect biodiversity.

What supercomputing infrastructure does BioDT use?

BioDT leverages the LUMI Supercomputer, one of Europe's most powerful HPC systems, orchestrated through LEXIS with cloud containers for scalable simulation workloads.

Is BioDT free to use?

BioDT is an EU-funded research initiative and its platform and outputs are publicly accessible. Access to HPC resources may depend on affiliation with partner research infrastructures.

What types of ecosystems does BioDT model?

BioDT currently models forests, grasslands, ecosystem services, bird populations, disease outbreak dynamics, honey bee landscapes, crop wild relatives, invasive alien species, phylogenetic diversity, and DNA metabarcoding scenarios.

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