Abstract
Over recent years, Collective Intelligence (CI) and crowdsourcing platforms have become a vital resource for learning, problem-solving, decision making and predictions. Unfortunately, the only generic model for developing CI systems (i.e., the CI Genome model) was published nearly a decade ago. Most articles that discuss this model only use examples of older CI projects, thereby raising the question ‘Can the genome model comprehensively describe recent CI platforms? If not, what new genes could be proposed to improve the model’? In this article, we answer this question by conducting an analysis of 10 CI projects developed after 2015. We first analyze these projects with respect to the genome model, and then identify three new components namely: Beneficiaries, Knowledge and Social Cause, and Collaboration-based Contest; that could help us improve the genome model, thereby improving our understanding of more recent CI initiatives.
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Suran, S., Pattanaik, V., Yahia, S.B., Draheim, D. (2019). Exploratory Analysis of Collective Intelligence Projects Developed Within the EU-Horizon 2020 Framework. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_25
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DOI: https://doi.org/10.1007/978-3-030-28374-2_25
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