A Conceptual Model for Participants and Activities in Citizen Science Projects

Lemmens, Rob; Falquet, Gilles; Tsinaraki, Chrisa; Klan, Friederike; Schade, Sven; Bastin, Lucy; Piera, Jaume; Antoniou, Vyron; Trojan, Jakub; Ostermann, Frank O.; Ceccaroni, Luigi

doi:10.1007/978-3-030-58278-4_9

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…It is known that CS projects are unique not only based on its participants, methodology, goals, design, etc. but also in terms of generated data and knowledge production [19,17]. Hence in the future it is important to automate the manual coding process and to extend our analysis considering more than one CS project to produce generalizable study findings.…”

Section: Discussionmentioning

confidence: 99%

Using Network Analysis to Characterize Participation and Interaction in a Citizen Science Online Community

Amarasinghe

Manske

Hoppe

et al. 2021

Collaboration Technologies and Social Computing

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Citizen Science (CS) projects provide a space for collaboration among scientists and the general public as a basis for making joint scientific discoveries. Analysis of existing datasets from CS projects can broaden our understanding of how different stakeholder groups interact and contribute to the joint achievements. To this end, we have collected publicly available forum data from the "Chimp&See" project hosted on the Zooniverse platform via crawling its Talk pages. The collected data were then analysed using Social Network Analysis (SNA) and Epistemic Network Analysis (ENA) techniques. The results obtained shed light on the participation and collaboration patterns of different stakeholder groups within discussion forums of the "Chimp&See" project.

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Section: Discussionmentioning

confidence: 99%

Using Network Analysis to Characterize Participation and Interaction in a Citizen Science Online Community

Amarasinghe

Manske

Hoppe

et al. 2021

Collaboration Technologies and Social Computing

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“…There are many different ways in which citizens can contribute to citizen science and crowdsourcing projects. This diversity of activities has been captured in a recently developed conceptual model of citizen participation [15]. One type of task is in the area of classification, which uses the visual interpretation skills of humans to identify features found in images.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Crowdsourced Land Use and Land Cover Data Collection: A Two-Stage Approach

Moltchanova

Lesiv

See

et al. 2022

Land

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Citizen science has become an increasingly popular approach to scientific data collection, where classification tasks involving visual interpretation of images is one prominent area of application, e.g., to support the production of land cover and land-use maps. Achieving a minimum accuracy in these classification tasks at a minimum cost is the subject of this study. A Bayesian approach provides an intuitive and reasonably straightforward solution to achieve this objective. However, its application requires additional information, such as the relative frequency of the classes and the accuracy of each user. While the former is often available, the latter requires additional data collection. In this paper, we present a two-stage approach to gathering this additional information. We demonstrate its application using a hypothetical two-class example and then apply it to an actual crowdsourced dataset with five classes, which was taken from a previous Geo-Wiki crowdsourcing campaign on identifying the size of agricultural fields from very high-resolution satellite imagery. We also attach the R code for the implementation of the newly presented approach.

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“…The contribution of the use of ontologies in these cases can be sought in the direction of improving the accuracy of information in the lists of IAS, and despite the fact that uncertainty will never be completely eliminated, these approaches will significantly improve the transparency, repeatability and comparability of IAS lists. Having an overall understanding and presentation of citizen science projects, the participants and their results are key to ensuring a seamless exchange of knowledge and data [5]. In this sense, the application of ontologies will be useful in the implementation of a conceptual model related to the presence of an overall understanding and presentation of initiatives pertaining to citizen sciences, participants and the information they have generated.…”

Section: Introductionmentioning

confidence: 99%

An ontological model to support citizen science in the field of invasive species research

Milchev

Tomov

2022

Acta Scientifica Naturalis

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Advances in information technology developments have led to improved ways and means of sharing information and good practices in various areas of social development. Providing the necessary tools enables Citizen Sciences (CS) to play an important role in raising awareness and engaging various stakeholders in the prevention of invasive alien species (IAS). In Bulgaria, up until this point, it is poorly developed, and this is largely due to the lack of information to the general public regarding the categorization of species, pathways of introduction and their negative impact. The article examines the possibilities for introduction and use of an advanced ontological model in the area of invasive alien species research, which will aid the process of involving a wide range of stakeholders in various initiatives that will contribute to preventing the introduction and spread of IAS. The researched approach using the advantages of modern information and communication technologies includes acquaintance with the basic concepts in the area of IAS, the processes related to their introduction and spread, as well as taking into account the existing interrelationships, which would provide opportunities for early detection and the rapid eradication of IAS. The developed model will also be applied to measures and policies put in place to change the attitudes of the general public to the problem of IAS.

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A Conceptual Model for Participants and Activities in Citizen Science Projects

Cited by 8 publications

References 15 publications

Using Network Analysis to Characterize Participation and Interaction in a Citizen Science Online Community

Using Network Analysis to Characterize Participation and Interaction in a Citizen Science Online Community

Optimizing Crowdsourced Land Use and Land Cover Data Collection: A Two-Stage Approach

An ontological model to support citizen science in the field of invasive species research

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