I. Introduction
Decision making for tackling problems of regional and global importance such as climate change, air pollution, energy planning and water security (to name a few) encompass a diverse range of domains. Large scale models such as Integrated Assessment Models (IAM) are commonly used for informed decision making in such problems [1]. IAMs combine information, theories and data that originate from a wide array of scientific disciplines that not only study different objects, but may do so using contrasting methods and varying time scales [2]. Models that support long-term policy-making at regional levels, are made to capture processes that operate at matching temporal and spatial scales.