Nov 23, 2021

Computational analysis techniques can provide significant insights into Citizen Science

One of the central characteristics of the CS Track approach to investigating citizen science projects and activities is to focus on underlying types of participation, collaboration and knowledge creation. This perspective comprises semantic and pragmatic aspects of scientific discourse as well as more structural analyses that focus on connections and networking inside the projects, between different projects as well as the information flow between CS projects and other institutions in society (e.g. public media or education). Many relevant activities are materialised in online digital media such as web pages, forums or contributions to social media channels. To harvest this information, the CS Track team are using web based analytics to investigate citizen science activities. Learn more about the methods and tools used to help us understand citizen science better here.

More about CS Track News

Special collection on citizen science in higher education published

Special collection on citizen science in higher education published

Citizen Science: Theory and Practice journal has just released a new special collection on citizen science in Higher Education. This special collection explores the ways both online and field-based citizen science can be integrated in higher education as a tool for...

EU report on open science & societal engagement in research

EU report on open science & societal engagement in research

The EU Commission has recently published a new report entitled "Enabling open science and societal engagement in research". This report presents insights and recommendations from a workshop held on 1 July 2021 attended by beneficiaries of the Science with and for...

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