AMPLIFIED COLLECTIVE INTELLIGENCE USING DISTRIBUTED PARALLEL RANKING WITH OVERLAPPING SUBPOPULATIONS AND PROBABILISTIC AGGREGATIONS

Systems and methods are disclosed for amplifying the collective intelligence of networked human groups engaged in collaborative decision-making. Specifically, systems and methods are disclosed to enable networked human groups to collaboratively rank a set of answer options in response to a displayed question prompt. In some embodiments a distribution of unique aggregated rankings is computed based on the received ranking responses, and one of the unique aggregated rankings communicated to networked computing devices. In some embodiments an updating ranking response is received from the networked computing devices. In some embodiments a final collaborative ranking is computed based on the received updated ranking responses from the plurality of networked computing devices.