U ncertainty is an amorphous concept. It refl ects uncertainty in the minds of consumers, managers, and policymakers about possible futures. It is also a broad concept, including uncertainty over the path of macro phenomena like GDP growth, micro phenomena like the growth rate of fi rms, and noneconomic events like war and climate change. In this essay, I address four questions about uncertaint...

Uncertainty quantification is the state-of-the-art framework dealing with uncertainties arising in all kind of real-life problems. One of the framework’s functions is to propagate uncertainties from the stochastic input factors to the output quantities of interest, hence the name uncertainty propagation. To this end, polynomial chaos expansions (PCE) have been effectively used in a wide variety...

The first aim of this study was to examine which uncertainty reduction strategies members of social network sites used to gain information about a person who they had recently met online. The second aim was to investigate whether and how these uncertainty reduction strategies resulted in social attraction. Drawing on a survey of 704 members of a social network site, we found that respondents ha...

This paper discusses learning under uncertainty; starting from a vision of how to support systems working within information systems, helping decision-making under uncertainty. The first results show the concept of learning under uncertainty. Then a change for a qualitative research approach was taken using Grounded Theory Methodology. The results are presented in a framework that represents a ...

Uncertainty analysis for model simulations is assuming a growing importance in the field of water quality management. The importance of this concern is provided by recent public awareness over health risks from improper disposal of toxic wastes as well as by the continuing emphasis on risk assessment. The first step in the chain of the risk assessment is the quantification of the error in predi...