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.
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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.
Data donation and Citizen Science – an interview with Elissa Redmiles, Max Planck Institute for Software Systems
Dr. Elissa M. Redmiles is a faculty member and research group leader of the Safety & Society group at the Max Planck Institute for Software Systems. She has additionally served as a consultant and researcher at multiple institutions, including Microsoft Research, Facebook, the World Bank, the Center for Democracy and Technology, and the University of Zurich.
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.
IMDEA Energy. Communicating science to drive citizen engagement in the transition to a Circular Economy model
IMDEA Energy is a research center created by the Community of Madrid in Spain, whose objectives are to promote and carry out R&D activities related to energy, especially for the promotion of renewable energies and clean energy technologies that allow progress towards a sustainable energy system.
The COVID-19 pandemic exposed an opportunity to improve the outcomes of citizen science in response to emerging challenges.
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.
How do different participants contribute to the knowledge-building discourse in online citizen science projects?
It is expected that the discussion boards in online CS projects provide a space for knowledge-building.
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...
How social network analysis reveals significant variables in Citizen Science projects: the Chimp & See case
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.
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.
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.
Citizen science (CS) activities have increasingly become diverse of both subject matter and objectives, creating diverse opportunities for people representing a variety of socio-economic backgrounds as well as experiences to come together and participate in science activities.
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.
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.
Social networks, such as Twitter, are increasingly being investigated to capture online interactive participation. Although citizen science projects have been remarkably successful in advancing scientific knowledge, it is not known whether the educational aspect is considered in citizen science projects.
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.
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.