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AGEO: Advanced Citizens’ Observatory for Atlantic Geohazard Risk Management

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Abstract

AGEO (Atlantic Geohazard Risk Management) platform has been employed from several pilots in Europe within the INTERREG AGEO project as Citizens’ Observatory on geohazards. The aim was to demonstrate how citizens’ involvement in geohazard risks prevention can strengthen regional and national risk management systems. Parallel with this activity AGEO fosters an efficient uptake of Copernicus data, products, and services on regional level. A combination of these two actions can result the improved geohazard risk prevention and resilience to natural disasters in the Atlantic region. National and regional authorities are directly involved in the project and have been in charge for the project outputs’ development with the help of solution providers and facilitators. Public stakeholders (civil society and individuals) have been directly engaged with locally and on a regional, interregional, and national level. The requirements of all stakeholders have been considered in a combined effort to address the individual needs of each group to the satisfaction of everyone. Within this paper we aim to describe the AGEO platform for earth science application, with participatory sensing capability to facilitate the capture of citizen observations through the provision of an online catalogue of citizen science resources (best practice, software tools, datasets, usability trials, citizen engagement studies).

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References

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Correspondence to Eleni Mangina .

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Mangina, E., Görgü, L., Parker, K., Lemon, K., Holohan, E. (2023). AGEO: Advanced Citizens’ Observatory for Atlantic Geohazard Risk Management. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14111. Springer, Cham. https://doi.org/10.1007/978-3-031-37126-4_43

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  • DOI: https://doi.org/10.1007/978-3-031-37126-4_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37125-7

  • Online ISBN: 978-3-031-37126-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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