How can we make the CS Track database of Citizen Science projects interactively accessible for the purposes of interest-driven retrieval, navigation and comparative analysis as well as for checking and correcting existing information items and adding new ones? To achieve this, we have developed the Analytics Workbench.
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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 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. This document maps citizen science landscapes in the...
On April 25-26, Aarhus University hosted the first major international f2f conference on Citizen Science since the beginning of the Covid 19 pandemic.
Javier Dufour is the head of the Systems Unit and Lorena Martinez is responsible for communication and image at IMDEA Energy in Spain. The research at this Madrid-based research centre focuses on determining the sustainability of any energy system.
The CS Track team has released a new report entitled Models to identify background factors associated with the CS activity. The proposed models are used to deepen our understanding of citizen scientists’ backgrounds and their involvement in citizen science activities....
We are delighted to announce that our team members Christine Urban and Michael Strähle (Wissenschaftsladen Wien – Science Shop Vienna) are going to be presenting at the EASST 2022 Conference (6-9, July) in Madrid, Spain. They will give a presentation entitled...
The 4th ECSA Conference taking place from 5-8 October in Berlin, Germany runs under the cross-cutting theme of Citizen Science for Planetary Health. The concept of planetary health is based on the understanding that human health and human civilization depend on...
Citizen science has, at least in Europe, turned into an umbrella term for a lot of very different practices.
The term ‘Citizen Science’ has had a remarkable career in terms of scientific publications and funding schemes. Citizen science policies are either already developed or under development in many parts of the world.
As a follow-up of the Analytics Workbench workshop in November 2021, the RIAS group were invited to give a talk in the speaker series on Digital Citizen Science at the prestigious Karlsruhe Institute for Technology (KIT). The presentation entitled “Web-based Analytics...
We are delighted to announce that our team members are going to be presenting at the Engaging Citizen Science (25-26 April) and ECSA 2022 (5-8 October) conferences. A poster "Individual Learning Outcomes in Citizen Science Projects" will be presented and the analytics...
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...
Citizen science has expanded rapidly over the past decade. As a result defining citizen science and its boundaries remains a challenge, and this is reflected in the literature—for example in the proliferation of typologies and definitions. There is a need for identifying areas of agreement and disagreement within the citizen science practitioners community on what should be considered citizen science.
How do citizen science activities develop and work? Computational analysis techniques can help us find out
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.
Identifying who takes part in citizen science projects and understanding what motivates them are key aspects in building our understanding of citizen science. These aspects are at the heart of a recent White Paper published by the CS Track project which highlights interest in the theme, contributing to scientific research and opportunities to learn as key factors when it comes to motivation.
Citizen Science is changing and evolving as highlighted in the recent CS Track White Paper on Themes, Objectives and Participants. This white paper draws on the initial results of a large scale CS Track survey carried out in early 2021 which highlights an increasing use of technology, diversification in terms of themes and a re-assessment of the value that citizen science can bring to the individual as well as society as a whole.
Understanding what motivates people to take part in Citizen Science activities is important. While the reasons people give for getting involved vary greatly, research is starting to show interesting connections between the different drivers and demographics.
Nowadays, there are numerous forms of technology ranging from audio recorders to smartphones as well as technological platforms, e.g., social media, that equip citizen scientists with the necessary tools to carry out their activities or projects of interest.
Engaging a wide range of participants over time, is key to the successful operation of citizen science projects. But how can projects accomplish this? The short and perhaps simplistic answer is “know your audience” – The whole range of potential audiences your project may have.
Examining the role of economic considerations in Citizen Science projects may yield some surprising conclusions, for example that those considerations may not be deemed by those involved in a project as important as could be expected. Greater attention seems to be paid to non-economic factors (e.g., educational gains).
The first version of the CS Track database contains a comprehensive collection of CS projects in the European Union and H2020 Associated Countries for data extraction and further analysis. This data was collected to both analyse and better understand citizen science.
Research into Citizen Science projects in the field of environmental epidemiology highlights the need for more effort in sharing information about collaborative processes
We follow a computational approach to assign research areas and categories to textual project descriptions on the web platform Zooniverse. Using this, we quantify the degree of multi-disciplinarity for 218 citizen science projects.
Citizen Science is an emerging field of study that expands from the social sciences, through policies and the learning sciences. Partners in our consortium have different views about this interdisciplinary field. Several aspects of these views are summarised here.
Are most of the citizen science projects only about environmental research? We answer this question by analysing descriptions of 218 Zooniverse projects using text analytics and identifying the predominant research area.
Citizen Science incorporates the general public into scientific research and therefore we might expect it not to have a presence in academic publications. This report analyzes the evolution of scientific publications in Citizen Science.