Crowdsourcing Convergence: Aggregating Partial Clusters to Facilitate Collaborative Convergence
- Joel Helquist, Utah Valley University, Orem, Utah, United States
- John Kruse, MITRE, Boston, Massachusetts, United States
- Christopher Diller Ph.D., University of Nebraska, Omaha, Omaha, Nebraska, United States
AbstractThis paper is an exploratory effort to investigate the possibility of using crowdsourcing to execute part of the collaborative convergence process. Participants were assigned with creating buckets or clusters from a random subset of the overall pool of brainstorming ideas. These sub-sorts were aggregated into a weighted graph and partitioned into discrete buckets. Analysis of this aggregated, consensus sort provides support that crowdsourcing may be a feasible option when organizing brainstorming ideas into discrete categories or buckets.
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