Diakou C.M.Kokkinaki A.I.https://orcid.org/0000-0003-1594-1340Kleanthous, StylianiStylianiKleanthous2025-01-142025-01-14201710.1007/978-3-319-67074-4_55https://kypseli.ouc.ac.cy/handle/11128/9101Low 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. � 2017, Springer International Publishing AG.enConference paper