  Many large-scale, complex systems consist of interactions between humans,
human-made systems and the environment. The approach developed in this paper is
to partition the problem space into two fundamental layers and identify,
parameterize and model the main dimensions of each layer and interactions
across and in between layers. One layer is the key actors or major organization
or human decision makers who influence the state of the world. The other layer
includes the domains or fields of knowledge relevant to the problem being
addressed. These domains include elements such as the physical earth and its
atmosphere, world demography, world economy, level of globalization, and
politics. Key parameters for each of the actor types and domains will be
extracted and assessed using existing data sources. Novel systems, uncertainty
modeling and analysis techniques are combined with advanced computational
technologies to determine a spectrum of likely future system states and conduct
ifthen scenario analyses.
