Immersive Analytics for Multi-objective Dynamic Integrated Climate-Economy (DICE) Models

Abstract

We are creating an immersive analytics tool for exploring the output of a Dynamic Integrated Climate-Economy (DICE) model, and present early work on the prototype system. DICE models and other Integrated Assessment Models (IAMs) are critical for informing environmental decision making and policy analysis. They often produce complex and multi-layered output, but need to be understood by decision makers who are not experts. We discuss our current and targeted feature set in order to help address this challenge. Additionally, we look ahead to the potential for rigorous evaluation of the system to uncover whether or not it is an improvement over current visualization methods.