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IWARN: A people-centered approach for early warning

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Title:IWARN: A people-centered approach for early warning
Authors:Diaz, Paloma
Sanchez-Francisco, Monica
Onorati, Teresa
Montero, Alvaro
Aedo, Ignacio
Keywords:Disaster Information, Resilience, for Emergency and Crisis Technologies
mobile technology
crisis informatics
citizen participation
Date Issued:04 Jan 2022
Abstract:Early warning is the activity of the mitigation phase concerned with monitoring precursors of a potential hazard to decide whether it is evolving to real risk and eventually initiate an early response. The first step consists of collecting updated and reliable data to support situational awareness from emergency operators. Data-centered Early Warning Systems (EWS) are focused on gathering data and run simulations to support decision-makers. A more sustainable approach consists of a people-centered EWS that takes profit from citizens who act as intelligent sensors collecting and sharing purposeful information. This people-centered approach can contribute to raising community awareness of the local environment and its vulnerabilities. In this paper, we introduce iWarn, a system relying upon mobile to integrate citizens in this process. The system has been developed following an action research approach to involve different stakeholders, including professionals, volunteers and citizens.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/79639
ISBN:978-0-9981331-5-7
DOI:10.24251/HICSS.2022.306
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Disaster Information, Resilience, for Emergency and Crisis Technologies


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