Citizen science (CS) projects encompass a variety of different disciplines (e.g. health, biology, education). However, it is not clear whether volunteers’ working i.e. professional discipline is related to the discipline of their selected project.
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Citizen science (CS) projects encompass a variety of different disciplines (e.g. health, biology, education). However, it is not clear whether volunteers’ working i.e. professional discipline is related to the discipline of their selected project.
Analysing the discourse in discussion forums of CS projects can help to understand underlying patterns of collaborative knowledge creation and to identify highly engaged users. We ask the question: What can the quantitative analysis of forum data tell us about these patterns?
How can we make the CS Track database of Citizen Science projects interactively accessible for the purposes of interest-driven retrieval, navigation and comparative analysis as well as for checking and correcting existing information items and adding new ones? To achieve this, we have developed the Analytics Workbench.
It is expected that the discussion boards in online CS projects provide a space for knowledge-building.
Citizen science entails the participation of the public and professional scientists in scientific activities in order to expand scientific knowledge and understanding. This involves participants adopting different roles for completing specific tasks which can shape overall learning experiences.
Citizen science (CS) activities have increasingly become diverse of both subject matter and objectives, creating diverse opportunities for people representing a variety of socio-economic backgrounds as well as experiences to come together and participate in science activities.
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