Computational approaches to problem solving have proven their worth in many fields of science, allowing the collection and analysis of unprecedented quantities of data, and the exploration via simulation of previously obscure phenomena. New "systems" approaches in fields as diverse as biology [12], earthquake science [11], and environmental science [3] are enabled by, and are spurring the further development of, such computational approaches. But as computational and system-level science methods become increasingly sophisticated, we must ask: how do we scale their impact, from the specialist to entire communities [7]?