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A Methodological Approach Towards Crisis Simulations: Qualifying CI-Enabled Information Systems

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

Low probability high impact events (LoPHIEs) disrupt organizations’ processes severely. Existing methods used for the anticipation and management of such events, suffer from common limitations resulting in a huge impact to the quantification of probability, uncertainty and risk. Continues studies in the field of Crisis Informatics, present an opportunity for the development of a framework that fits the uncertainty related properties of LoPHIEs.

The paper identifies the need for the development and conduction of a series of experiments, aiming to address the factors that qualify Collective Intelligence-enabled Information Systems with respect to their applicability towards support for LoPHIEs; and aims to propose an experiment framework as a methodology for scenario design in LoPHIEs settings.

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Correspondence to Chrysostomi Maria Diakou .

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Diakou, C.M., Kokkinaki, A.I., Kleanthous, S. (2017). A Methodological Approach Towards Crisis Simulations: Qualifying CI-Enabled Information Systems. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_55

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_55

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