The Iliad digital twins of the ocean: opportunities for citizen science

In recent years, there has been growing interest in digital twins (or virtual representations) of the environment. Programs in the European Union and the UN are investing in digital twins, particularly those of the ocean (DTOs). While citizen science has been mentioned as a potential data source for digital twins, the full potential of citizen science in this context has yet to be fully realised. The Iliad project (https://ocean-twin.eu), funded by the European Commission, is developing a comprehensive set of digital twins of the oceans which are interoperable, data-intensive, and cost-effective. The project (2022–2025) brings together over 50 partners to demonstrate the technologies and methodologies required to develop DTOs. Citizen science and engagement play a pivotal role in the project, with the following goals: (a) exploring the potential for citizen science to contribute to digital twins of the oceans; (b) demonstrating how citizen scientists (and society more broadly) can benefit from digital twins. The Iliad team is currently working on over 20 separate digital twins of the oceans that fall into two primary categories: (i) environmental and ecological digital twins; (ii) engineering and industrial digital twins. Using the Iliad DTOs as case studies, lessons learned for citizen science are presented from the development of each digital twin.

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Publication Details

Journal
ARPHA proceedings
Published
2024-09-30
DOI
https://doi.org/10.3897/ap.e126643
Citations
3
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
5.87
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article

The Iliad digital twins of the ocean: opportunities for citizen science

Stephen Parkinson, James Sprinks, Pauline Simpson, Luigi Ceccaroni et al.
3 citations
ARPHA proceedings
Geographic Information Systems Studies
5.87
article

The Iliad digital twins of the ocean: opportunities for citizen science

Stephen Parkinson, James Sprinks, Pauline Simpson, Luigi Ceccaroni, Claire Laudy, Jay Pearlman, Emily Robertson, Dor Edelist, Valentijn Venus, Bente Lilja Bye, Garabet Kazanjian, Sasha Woods, Roxana Horincar, Valentina Markova, Marco Amaro Oliveira, Todor Ganchev, Hugo Paredes, Patience Muchada, Anna Witter, Bianca Cruz, Kaushiki Das
article en
3 citations

Abstract

In recent years, there has been growing interest in digital twins (or virtual representations) of the environment. Programs in the European Union and the UN are investing in digital twins, particularly those of the ocean (DTOs). While citizen science has been mentioned as a potential data source for digital twins, the full potential of citizen science in this context has yet to be fully realised. The Iliad project (https://ocean-twin.eu), funded by the European Commission, is developing a comprehensive set of digital twins of the oceans which are interoperable, data-intensive, and cost-effective. The project (2022–2025) brings together over 50 partners to demonstrate the technologies and methodologies required to develop DTOs. Citizen science and engagement play a pivotal role in the project, with the following goals: (a) exploring the potential for citizen science to contribute to digital twins of the oceans; (b) demonstrating how citizen scientists (and society more broadly) can benefit from digital twins. The Iliad team is currently working on over 20 separate digital twins of the oceans that fall into two primary categories: (i) environmental and ecological digital twins; (ii) engineering and industrial digital twins. Using the Iliad DTOs as case studies, lessons learned for citizen science are presented from the development of each digital twin.

ARPHA proceedingsVol. 1
Technical University of Varna (BG), American University of Armenia (AM), Institute of Electrical and Electronics Engineers (US), Earthwatch Europe (GB), Veiligheids- en Gezondheidsregio Gelderland-Midden (NL), Laboratoire Albert Fert (FR), Institut d'écologie et des sciences de l'environnement de Paris (FR), INESC TEC (PT), University of Haifa (IL)
Life below water
Openalex Percentile: Top 4%
Geographic Information Systems Studies
5.87
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