Towards a responsible Early-Warning System: knowledge implications in decision support design
Arru, Maude; Negre, Elsa; Rosenthal-Sabroux, Camille; Grundstein, Michel (2016), Towards a responsible Early-Warning System: knowledge implications in decision support design, IEEE 10th International Conference on Research Challenges in Information Science (RCIS) - Proceedings, IEEE Press, p. 12 p.. 10.1109/RCIS.2016.7549288
Type
Communication / ConférenceDate
2016Conference title
10th International Conference on Research Challenges in Information Science (RCIS)Conference date
2016-06Conference city
GrenobleConference country
FranceBook title
IEEE 10th International Conference on Research Challenges in Information Science (RCIS) - ProceedingsPublisher
IEEE Press
ISBN
978-1-4799-8711-5
Pages
12 p.
Publication identifier
Metadata
Show full item recordAuthor(s)
Arru, MaudeLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Negre, Elsa
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Rosenthal-Sabroux, Camille
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Grundstein, Michel
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
Warnings can help prevent damage and harm if they are issued timely and provide information that help responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early-warnings. In a socially and environmentally responsible word, we need effective Early-Warning Systems (EWS). EWS are Information and Knowledge Systems dedicated to protect people against disasters damages. Such systems are designed to integrate data, information and knowledge from various sources and actors who do not usually interact to issue early-warnings. This paper introduces knowledge implications in EWS decision support design in general, with a discussion on communication processes between data, information and knowledge. We propose a knowledge-oriented vision of EWS elements to examine existing systems and provide dynamic and flow-oriented models. In this perspective, we analyze knowledge integration processes in the design of the fire safety system of our University.Subjects / Keywords
Information and Knowledge Systems; Knowledge Integration; Early-Warning Systems; Decision Support; Fire SafetyRelated items
Showing items related by title and author.
-
Arru, Maude; Negre, Elsa; Rosenthal-Sabroux, Camille (2018) Communication / Conférence
-
Negre, Elsa; Arru, Maude; Rosenthal-Sabroux, Camille (2019) Chapitre d'ouvrage
-
Atif, Lynda; Arduin, Pierre-Emmanuel; Grundstein, Michel; Negre, Elsa; Rosenthal-Sabroux, Camille (2015) Communication / Conférence
-
Arru, Maude; Negre, Elsa; Rosenthal-Sabroux, Camille (2018) Communication / Conférence
-
Arru, Maude; Mayag, Brice; Negre, Elsa (2016) Communication / Conférence