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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...
How has the citizen science community responded to the COVID-19 pandemic? A content analysis-based study examining projects’ characteristics and activities.
The CS Track research team led by Christine Urban and Michael Strähle (Wissenschaftsladen Wien - Science Shop Vienna) has recently published a new report on Citizen Science which includes an extensive literature review and consideration of Citizen Science from...
Chimp & See is one of the projects of the Zooniverse platform, which is one of the largest citizen science web portals, was initiated in 2015 by the Max Planck Institute for Evolutionary Anthropology. The aim of the project is to learn more about the culture, population size and demography of chimpanzees in specific regions of Africa.
A cornerstone of the CS Track project’s approach to investigating how citizen science (CS) activities develop and work is the use of computational analysis techniques applied to digital sources and traces to characterise and analyse these activities in terms of interactions within certain projects, the interplay with “official” science and their interaction with society.
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.
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