At Helioid, we will leverage the opportunity and advantages gleaned from our search solutions to support netroots humanitarianism, in addition to our primary goal of meeting the emerging need for a new sort of web search and academic/enterprise research. Information scientists like Chaomei Chen have demonstrated that representations of published research in a given field – clustered by citation analysis – can so accurately characterize the field that changes in the representation can be used to predict the emergence of new research paradigms, and so these clustered representations can be used to help guide research. Others like Peter Pirolli argue that, since such representations illustrate areas in which relatively sparse research efforts have been undertaken, they can be used to optimally distribute the efforts of researchers over presently hot subject areas, and under-explored regions of the field. Moreover, there is a very clear opportunity presented by such structured knowledge representations for enabling any interested party to make some manner of contribution to such innovative networks, as such navigable representations allow users to assemble crash courses in a broad subject area, or pick and choose over specific topics in which their acumen might be lacking.