Matching individual attributes with task types in collaborative citizen science

In citizen science, participants’ productivity is imperative to project success. We investigate the feasibility of a collaborative approach to citizen science, within which productivity is enhanced by capitalizing on the diversity of individual attributes among participants. Specifically, we explore...

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Bibliographic Details
Main Authors: Shinnosuke Nakayama, Marina Torre, Oded Nov, Maurizio Porfiri
Format: Article
Language:English
Published: PeerJ Inc. 2019-07-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-209.pdf