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 metrics 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; expanding the selected set of experts by adding experts from the population of known experts that are noted in referrals in answers received in response to the sent questions; automatically updating the value metric scores of the expanded set of experts via a programmable device as a function 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 response answers from the selected set of experts; and repeating 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, expanding the updated set of experts by adding experts noted in referrals in answers received to the updated plurality of questions, automatically updating the value metric scores of the expanded updated set of experts via the programmable device as the function of the timeliness of the responses received and the degree of correlation of the answers to the expected answers, and removing satisfied questions from the updated plurality of survey questions, until each question in the updated plurality of survey questions is satisfied and removed.