A novel concurrent approach for multiclass scenario discovery using Multivariate Regression Trees: Exploring spatial inequality patterns in the Vietnam Mekong Delta under uncertainty

To support equitable planning, model-based analyses can be used to explore inequality patterns arising from different scenarios. Scenario discovery is increasingly used to extract insights from ensembles of simulation. Here, we apply two scenario discovery approaches for unraveling inequality patterns and their drivers, with an application to...

Exploring the Future of Wind-Powered Energy

Although there is a trend towards more sustainable energy system, the future of renewable energies is still deeply uncertain. Among the renewable resources, wind energy is considered to be a promising one. However, in the presence of deep uncertainty, what will be the future of wind-powered energy? Decision making under deep uncertainty for such...

Defining Uncertainty: A Conceptual Basis for Uncertainty Management in Model-Based Decision Support

The aim of this paper is to provide a conceptual basis for the systematic treatment of uncertainty in model-based decision support activities such as policy analysis, integrated assessment and risk assessment. It focuses on the uncertainty perceived from the point of view of those providing information to support policy decisions (i.e., the...