The seminar is entitled:
Developing digital twins in ecology — towards a framework
Abstract:
The entry of digital twins (DTs) in ecology represents a burgeoning frontier aimed at enhancing our understanding and management of complex ecological systems. This seminar presents a framework for the development and implementation of DTs tailored to ecological contexts. Drawing upon insights from the Biodiversity Digital Twin (https://biodt.eu) project, the framework encompasses key components essential for the effective design of ecological DTs, regardless of scale.
At the core of the framework are dynamic and data-driven approaches, encapsulated within the Dynamic Data-Driven Application Systems (DDDAS) paradigm. This paradigm emphasises the integration of real-time data streams, feedback loops, and state management mechanisms to create adaptive and responsive DTs. Within this context, components such as Virtual Sensors, Processors, Diff-checkers, Evaluators, and Indexers play pivotal roles in sourcing, refining, validating, and tracking temporal data dynamics within the DT ecosystem. Through the application of this framework, ecological DTs offer a unique opportunity for advancing our understanding of ecosystem dynamics, informing conservation efforts, and facilitating evidence-based decision-making.
This seminar aims to present the framework at an introductory level, and will also sensitise the audience to the ABCs of Digital Twins in general