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Description

The event provided a theoretical and practical introduction to the entire development lifecycle of digital twins for biodiversity. During the course, participants explored the use of advanced HPC platforms, API integration, and data management based on Open Science principles, while also analyzing real-world case studies.

Learning Objectives

By the end of this program, participants will be able to:

  • Understand Digital Twin architecture;
  • Design Conceptual Models;
  • Leverage Supercomputing (HPC) Solutions;
  • Practice Open Science and Data Management.

Target Audience

Student, researcher, developer, or simply a biodiversity enthusiast who want to contribute to the future of digital biodiversity modeling.

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