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Volunteers in citizen science (CS) have different kinds of motivations for participation, ranging from e.g. topic interest, supporting science to personal recognition. Information regarding the existence and characteristics of motivation profile groups of volunteers remains unclear.
Since November 2019 the international research project CS Track has been combining traditional social-science methods with web-based and computational analytics in order to systematically survey the field of Citizen Science.
Main aim of the study This work presents opportunities, achievements, and future challenges in using computational analytics to better understand the connection between CS and the SDGs. The work in its status does not fully cover SDGs in CS, but it evaluates and shows...
The study aimed at assessing the pandemic’s impact on online CS participation and capturing CS project coordinators’ experience of the pandemic and their actions in managing the pandemic’s effects.
Collect data on some project characteristics which cannot be answered by visiting project websites.
This study aims at understanding how the alignment between the motivational factors of CS participants and the recruitment speech used in the projects’ description is, by performing quantitative triangulation of data collected through a survey about 12 motivational factors for participating in a CS project, and the manual analysis of the projects’ descriptions available in Zooniverse website.
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