This paper discusses the notion of collective intelligence through the application of the Wideband Delphi method as a way to obtain convergence among a group of experts. The specific application is the definition and calibration of cost estimation models that use data collected from experts as part of their calibration. Convergence is important in this case because companies need to commit to cost estimates early in the planning cycle since so many other decisions are dependent on it. Our results demonstrate that, in most cases, convergence among experts can be achieved after three rounds of the Wideband Delphi
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