Crowdsourcing Convergence: Aggregating Partial Clusters to Facilitate Collaborative Convergence

Date
2019-01-08
Authors
Helquist, Joel
Kruse, John
Diller Ph.D., Christopher
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Abstract
This 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.
Description
Keywords
Design and Development of Collaboration Technologies, Collaboration Systems and Technologies, collaboration, convergence, crowdsourcing
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