Crowdsourced Science & Intelligence Gathering in pursuit of the Search for New Objects

SIGSNO is an organization that works to develop technology to study and analyze unidentified transient objects (UTOs). The organization's primary aim is to automate the process of identification to rule out possible misidentifications and crowdsource various forms of sensory input to collect and model hard field data. Objects that fall outside the category of knowns (whether misidentifications, hoaxes, or otherwise) are then in the set of unknowns. True "known unknowns" can be further broken up into "correctly identified valid hypotheses" or "invalid hypotheses." Once a hypothesis set is enumerated the sighted object becomes a "candidate" for the given subset of possible explanations. The application then looks over the characteristics of each hypothesis to quantify how many details correctly describe the object to determine the explanation that best fits the observation. If none of the hypotheses fit, the object represents a question mark worth further study. Ultimately the study of the unknown allows us to categorize things that are outside current understanding so people in specific fields of research can attempt to bring their specialty to bear against "true unknowns."