We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

The role of data science and digital research infrastructure in environmental digital twins

Formal Metadata

Title
The role of data science and digital research infrastructure in environmental digital twins
Title of Series
Number of Parts
44
Author
Contributors
License
CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date2023
LanguageEnglish
Producer
Production Year2023
Production PlaceWageningen

Content Metadata

Subject Area
Genre
Abstract
Digital twins are increasingly important in many domains, including for understanding and managing the natural environment. Digital twins of the natural environment are fueled by the unprecedented amounts of environmental data now available from a variety of sources from remote sensing to potentially dense deployment of earth-based sensors. Because of this, data science techniques inevitably have a crucial role to play in making sense of this complex, highly heterogeneous data. This seminar reflects on the role of data science in digital twins of the natural environment, with particular attention on how resultant data models can work alongside the rich legacy of process models that exist in this domain. We seek to unpick the complex two-way relationship between data and process understanding. By focusing on the interactions, we end up with a template for digital twins that incorporates a rich, highly dynamic learning process with the potential to handle the complexities and emergent behaviors of this important area. The seminar also considers the important role that Digital Research Infrastructure can play in underpinning digital twin development, including supporting FAIR assets to underlying data and modeling resources as well as ensuring federation between digital twin structures.
Keywords