A structured team building method for collaborative crowdsourcing

The traditional crowdsourcing approach consists in open calls that give the access to a worldwide crowd potentially able to solve particular problems or perform small tasks. However, over the years crowdsourcing platforms have started to select narrower groups of skilled solvers basing on their expertise, in order to ensure quality and effectiveness of the final result. As a consequence, the selection and allocation of the most appropriate team for the resolution of different types of problems have become a critical process. The present research aims to highlight the main variables to assess solvers capabilities and provides a skills-based methodology for advanced team building in collaborative crowdsourcing contexts. The method focuses on selecting the most suitable team to face a determined problem as well as on tracking the evolution of individuals skills over the performed challenges. A case study conducted within a self-developed platform is proposed to support the description.

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