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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...
The CS Track research team, led by partners Christine Urban and Michael Strähle from the Wissenschaftsladen Wien – Science Shop Vienna, has published a report called Conceptual Framework for Analytics Tools.
The CS Track team has released a new report entitled Models to identify background factors associated with the CS activity. It introduces how the CS Track team created 6 models with the aim of developing a deeper understanding of how different factors (e.g. gender, age, roles in CS) are associated with different forms of participation in CS activities.
Marketing and motivation studies highlighted the importance of knowing more about participants. Framing and user experience experts showed how to convert knowledge into tailored approaches that enhance engagement and retention. Other fields, including the world of commerce, have potential lessons for citizen science practitioners, especially those involved in top-down, mass participatory projects that require high levels of engagement.
In order to better tailor our work to the needs of our different stakeholders, the CS Track team led a series of focus group discussions in September. These focus groups directly involved over 30 people coming from different stakeholder communities including policy-makers and officers, platform and support agency representatives, people interested in CS from an educational perspective and CS project leaders, participants and researchers.
The COVID-19 pandemic exposed an opportunity to improve the outcomes of citizen science in response to emerging challenges.
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