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.
Important notice
We would like to inform that this project is inactive since December 2022. As a result, the content presented on this website is static, which means it cannot be updated, and no new information will be added. Consequently, interactive features such as the search function, or subscription and commenting capabilities are unavailable.
Reports
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Is it a match? Motivations on citizen science volunteers and recruitment arguments in project descriptions
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.
Educational uses of CS data
The study aim is to investigate how a combination of methods (such as data analysis, computational or quantitative methods) could be applied to gather CS projects information to support teacher’s practice and inspire them.
How to automate the extraction and analysis of information for educational purposes
In this case study we intended to reflect on how the online data about CS is shared and communicated in the websites, how could this data be extracted massively and stored in a central database to, later be analysed with different purposes. One of its, studied in this article, is the usage of all the information in educational contexts.
Citizen science project descriptions as science communication texts – the good, the bad, and the ugly
Project descriptions are a central element of a Citizen Science project’s online presence and thus play a key role in recruiting volunteers. Very often, they are the first point of contact between a project and prospective participants. As such, they need to be reader-friendly and accessible, spark interest, contain all the necessary practical information, and motivate readers to join by explaining convincingly how they will benefit from participating in the project. The purpose of this study was to examine whether the project descriptions stored in the CS Track database meet these criteria.
Research Areas in Citizen Science: One analysis of the CS Track database
One of the main objectives of CS Track project has been to realise an explorative study of CS projects in Europe, with the aim to categorize, cluster and build a database of CS projects that would allow an analysis of them. This has allowed: (1) to compile of a database of CS projects (and their corresponding CS activities) in the European Union and Associated Countries; (2) to document of a collection of these projects to explore their availability of data for further analysis following the knowledge gaps identified by the literature review.
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