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.
CITATION STYLE
Diakou, C. M., Kokkinaki, A. I., & Kleanthous, S. (2017). A Methodological Approach Towards Crisis Simulations: Qualifying CI-Enabled Information Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10448 LNAI, pp. 569–578). Springer Verlag. https://doi.org/10.1007/978-3-319-67074-4_55
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