SOURCE-LINKED INTELLIGENCE
Awareness and resilience through European multi sensor system
r knowledge in this field we propose the development of a cheap sensor system, that can be employed on a large scale in earthquake prone areas of Europe. The real time collected data is used to build machine learning (ML) models for the analysis. The collected and AI processed data will generate a real time map of hydrological and geochemical changes that is shared to the scientific community and public bodies engaged in the project. A pilot project engaging citizens of the participating municipalities is part of the dissemination and exploitation activities. We expect artEmis to clarify the longstanding issue of earthquake predictions by means of geochemical precursors like changes in radon concentration. The system is designed for scalability. Dissemination and exploitation activities are tailormade to ensure support and expansion of artEmis after the project’s completion. Radon content in water causes health issues and artEmis offers a novel way to monitor both content of radon as well as changes in real time that may indicate changes in flow pattern. Hence, artEmis is facilitati
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1979125
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.