1. A method for collection of data or information from a dynamic and adaptive target group selection, the method comprising: selecting a set of experts that each have higher value metric scores relative to value metric scores of other unselected experts of a population of known experts and that are indicative of an expertise relevant to at least one question in a plurality of survey questions; sending the plurality of survey questions to the selected set of experts; automatically updating the value metric scores of the set of experts via a programmable device as a function of at least one of a timeliness of a response received from an associated expert, and a degree of correlation of an answer within said response received from the associated expert to an expected answer; updating the plurality of survey questions by removing questions satisfied by a threshold number of response answers that are received from the selected set of experts and that are within a threshold variance of an expected answer to the satisfied question; and repeating the steps of selecting an updated set of experts that each have higher value metrics scores relative to value metric scores of other unselected experts of the selected set and that are indicative of an expertise relevant to at least one question in the updated plurality of survey questions, sending the updated plurality of survey questions to the updated set of experts, and automatically updating the value metric scores of the expanded updated set of experts via the programmable device as the function of the at least one of the timeliness of the responses received and the degree of correlation of the answers to the expected answers, until each question in the updated plurality of survey questions is satisfied by the threshold number of response answers that are received from the selected set of experts and that are within a threshold variance of an expected answer to the satisfied question and removed.