In this interview, we talk to two professionals who have each worked in different research fields which have utilized citizen scientists as part of their profession and research.
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In this interview, we talk to two professionals who have each worked in different research fields which have utilized citizen scientists as part of their profession and research.
Volunteers in citizen science (CS) have different kinds of motivations for participation, ranging from e.g. topic interest, supporting science to personal recognition. Information regarding the existence and characteristics of motivation profile groups of volunteers remains unclear.
Citizen science (CS) projects encompass a variety of different disciplines (e.g. health, biology, education). However, it is not clear whether volunteers’ working i.e. professional discipline is related to the discipline of their selected project.
Citizen science engages adults of all age groups. According to participants, which are technologies they use to participate in CS activities? What are the differences between different age groups and the technologies they use?
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.
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.
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.
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 study aimed at assessing the pandemic’s impact on online CS participation and capturing CS project coordinators’ experience of the pandemic and their actions in managing the pandemic’s effects.
Collect data on some project characteristics which cannot be answered by visiting project websites.
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.
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.
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.
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.
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.
A CS Track team of researchers including Reuma De-Groot, Yaela N Golumbic, Fernando Martínez Martínez and H. Ulrich Hoppe recently published a paper entitled “Developing a framework for investigating Citizen Science through a combination of web analytics and social science methods – the CS Track perspective”. This article presents the project’s framework that aims to complement existing methods for evaluating CS, address gaps in current observations of the citizen science landscape and integrate findings from multiple studies and methodologies.
Educational impacts of participation, such as the development of scientific skills or increased awareness about biodiversity and conservation, are one of the most widely discussed aspects of CS. Whereas most existing studies investigate perceived or observed learning gains of citizen scientists, this study took an alternative perspective by examining learning-related aspects in textual self-representations of CS projects—namely in project descriptions posted online. The aim was to determine which dimensions of learning are reflected most prominently in CS project descriptions.
3 keynotes, 35 sessions, 101 posters and more than 400 participants – in early October citizen science experts from all over the world gathered in Berlin to attend the biennial ECSA conference, Europe’s largest citizen science event.
Over the past 18 months, several research groups within the CS Track consortium have analysed project descriptions stored in the CS Track database from different perspectives (focusing for instance on research area, correlation with the SDG framework, educational aspects etc.).
Gitte Kragh is a postdoc at Aarhus University, ecologist at NORDECO, co-founder of the Danish Citizen Science Network, and a Board member of the European Citizen Science Association (ECSA).
We analysed 17,122 Citizen Science tweets filtered with Health keywords in order to answer the following questions: What are the most used hashtags in the e-Health discussion? Are hashtags normally used alone or alongside others on the same theme?
In this article, we analysed linkages between tweets and SDGs in our dataset by means of classification algorithms. In addition, the network of retweets for each SDG is provided.
Through this Twitter analysis it was possible to demonstrate that some SDGs are much more discussed than others among the Citizen Science community of Twitter.
Analysing the discourse in discussion forums of CS projects can help to understand underlying patterns of collaborative knowledge creation and to identify highly engaged users. We ask the question: What can the quantitative analysis of forum data tell us about these patterns?
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.
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.
On April 25-26, Aarhus University hosted the first major international f2f conference on Citizen Science since the beginning of the Covid 19 pandemic.
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.
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.
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 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.
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...
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.
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.