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Socio-economic assessment of satellite-based Edge AI for disaster management

Year: 2025

Type: article

Abstract: This report summarises the socio-economic impact potential of using Edge SpAIce, an innovative space-based artificial intelligence system developed in the frame of an EU co-funded project at CERN in the frame of next generation high-energy physics particle detectors to enhance the prevention, detection, and response to environmental disasters. By processing data directly on satellites through Field Programmable Gate Arrays (FPGAs), the solution reduces latency, increases bandwidth efficiency, and enables real-time alerting. The findings of this study carried out by the University of Milan (Italy) in cooperation with CERN reveal that a solution for disaster prevention based on Edge SpAIce can significantly outperform traditional reactive systems in both economic efficiency and disaster mitigation capabilities, with potential benefit-cost ratios exceeding 1,500 in in the most conservative scenario. This analysis supports the deployment of Edge AI as a transformative solution for disaster risk reduction.

Source: Zenodo (CERN European Organization for Nuclear Research)

Authors: Girotto, Arianna, Cielok, Leila, Clavarino, Beatrice, Guidi, Silvia, Longo, Angelica, Memmola, Francesco Sebastiano, Sartini, Sara, Spano, Paul, Zehnder, Greta, Gutleber, Johannes, Alix, Leslie

Institutions: University of Milan, European Organization for Nuclear Research

Language: English

Topic: Energy and Environmental Systems

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Climate action

Open Access status: green

Funder: European Commission

Award: Unleashing AI potential to foster space accessibility and novel Earth Observation services creation.

OpenAlex ID: W6911912992

FWCI:

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