Towards a Transdisciplinary Theoretical Framework of Citizen Science: Results from a Meta-Review Analysis

Spasiano, Andrea; Grimaldi, Salvatore; Braccini, Alessio Maria; Nardi, Fernando

doi:10.3390/su13147904

Cited by 24 publications

(22 citation statements)

References 67 publications

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“…Citizen science is a trans-disciplinary participatory method (51). Whilst there is no agreed definition (52-54), for this paper, we define citizen science as the involvement of members of the public who work with professional scientists to advance research (55).…”

Section: Methods and Analysismentioning

confidence: 99%

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Child and family experiences of a whole-system approach to physical activity: a citizen science evaluation protocol

Frazer

Seims

Tatterton

et al. 2022

Preprint

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Introduction: Whole systems approaches are being adopted to tackle physical inactivity. The mechanisms contributing to changes resulting from whole system approaches are not fully understood. The voices of children and families that these approaches are designed for need to be heard to understand what is working, for whom, where, and in what context. This paper describes the protocol for the children and families citizen science evaluation of the JU:MP programme, a whole systems approach to increasing physical activity in children and young people aged 5-14 years in Bradford, UK. Methods and analysis: The evaluation aims to understand the lived experiences of children and families' relationship with physical activity and participation in the JU:MP programme. The study takes a collaborative and contributory citizen science approach, including focus groups, parent-child dyad interviews and participatory research. Feedback and data will guide changes within this study and the JU:MP programme. We also aim to examine participant experience of citizen science and the suitability of a citizen science approach to evaluate a whole systems approach. Data will be analysed using Framework approach alongside iterative analysis with and by citizen scientists in the collaborative citizen science study. Ethics and dissemination: Ethical approval has been granted by The University of Bradford: Study One (E891-focus groups as part of the control trial, E982-parent-child dyad interviews), Study Two (E992). Results will be published in peer-reviewed journals and summaries will be provided to the participants, through schools or directly. The citizen scientists input to create further dissemination opportunities.

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Section: Methods and Analysismentioning

confidence: 99%

“…(19). A recurrent cross-sectional analysis will be applied for the focus group data to explore differences across the three different focus group cohorts(51). For interview data, a trajectory analysis will be used to examine change over time within the parent-child dyads participating in the study.…”

Section: Methods and Analysismentioning

confidence: 99%

Child and family experiences of a whole-system approach to physical activity: a citizen science evaluation protocol

Frazer

Seims

Tatterton

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…Citizen science is another form of crowd-based phenomena whose roots date back to the early 19th century when people were recruited to gather data used, for example, to catalogue birds (Land-Zandstra et al , 2015). However, it has only been in the past decade that citizen science has been expanding more and more thanks to the ease with which individuals can be reached using IT tools, and this has attracted increasing scientific and policymaking attention (Cappa et al , 2022a; Land-Zandstra et al , 2015; Sauermann et al , 2020; Wildschut, 2017; Spasiano et al , 2021). Citizen science seeks to involve citizens, without any specific scientific background requirement, in the collection and analysis of data for research projects through technology-mediated interactions.…”

Section: Big Data and Crowd-based Phenomena In Gathering Insights Fro...mentioning

confidence: 99%

Big data from customers and non-customers through crowdsourcing, citizen science and crowdfunding

Cappa

2022

JKM

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Purpose The unprecedented growth in the volume, variety and velocity with which data is generated and collected over the last decade has led to the spread of big data phenomenon. Organizations have become increasingly involved in the collection and analysis of big data to improve their performance. Whereas the focus thus far has mainly been on big data collected from customers, the topic of how to collect data also from those who are not yet customers has been overlooked. A growing means of interacting with non-customers is through crowd-based phenomena, which are therefore examined in this study as a way to further collect big data. Therefore, this study aims to demonstrate the importance of jointly considering these phenomena under the proposed framework. Design/methodology/approach This study seeks to demonstrate that organizations can collect big data from a crowd of customers and non-customers through crowd-based phenomena such as crowdsourcing, citizen science and crowdfunding. The conceptual analysis conducted in this study produced an integrated framework through which companies can improve their performance. Findings Grounded in the resource-based view, this paper argues that non-customers can constitute a valuable resource insofar as they can be an additional source of big data when participating in crowd-based phenomena. Companies can, in this way, further improve their performance. Originality/value This study advances scientific knowledge of big data and crowd-based phenomena by providing an overview of how they can be jointly applied to further benefit organizations. Moreover, the framework posited in this study is an endeavour to stimulate further analyses of these topics and provide initial suggestions on how organizations can jointly leverage crowd-based phenomena and big data.

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“…Evidence of this can be observed in the increasing number of scientific articles published in recent years, indicating a growing trend in the subject. The broad focus spectrum includes the following clusters: CS participant engagement (Fischer et al, 2021;Haklay, 2018;Lotfian et al, 2020;Wiggins & Crowston, 2011); ethical issues in CS (Groot & Abma, 2022;Resnik et al, 2015); virtual CS projects (Reed et al, 2012); incorporating communities in CS (García-Holgado et al, 2020;Katapally, 2019;Nardi et al, 2021;Pandya, 2012); CS data quality improvement (Antelio et al, 2012;Cerquides et al, 2021;Garriga et al, 2017); evaluation and design of CS programs (Bolici & Colella, 2019;Chase & Levine., 2016;Hennig et al, 2019); prevention and control (Asingizwe et al, 2018;Coulson & Woods, 2021;Li et al, 2019;Yang et al, 2019); education & research (Hiller et al, 2019;Spasiano et al, 2021); surveillance and monitoring via CS (Arazy & Malkinson, 2021;Callaghan et al, 2020;Welvaert & Caley, 2016); CS data collecting & processing (Callaghan et al, 2021;Eagles-Smith, 2020;Hyvönen et al, 2021;Teng & Albayrak, 2017), CS and interest in developing critical thinking (Araújo et al, 2022;Belluigi & Cundill., 2017;Castell et al, 2021;Constant & Roberts, 2017) (See Figure 2).…”

Section: Cs Frameworkmentioning

confidence: 99%

A Threshold for Citizen Science Projects: Complex Thinking as a Driver of Holistic Development

Sanabria-Z

Espinosa

Alfaro-Ponce

et al. 2022

RIED

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Emerging technologies and community empowerment have driven citizen science (CS) projects. However, their impact remains vague, partly because of the difficulties in monitoring and standardizing these projects. Notably, the development of citizens' complex thinking is not among the primary goals, despite the connection with the tenets of Education 4.0 and the training of socially committed citizens. Therefore, we propose a framework and typology to foster CS projects while scaling up complex thinking. We used the evidence-based educational innovation (EBEI) methodology and the Theory of Change (ToC) perspective, reviewing some of the most relevant frameworks under UNESCO's Open Science Recommendation. Findings from the CS projects analysis revealed that: (a) there is inattention to developing the sub-components of the complex thinking macro-competency; (b) a growing trend to develop frameworks for CS projects is taking place; (c) there is a prevalence of CS project frameworks focused on prevention and control, project evaluation and design, and education and research; (d) a framework with three dimensions based on ToC (Outbound, Threshold and Full-cycle) can guide the development of CS projects; and (e) an eight-component typology can measure the progress and impact of CS projects from the perspectives of Context-awareness, Citizen engagement, Infrastructure leverage, Technological innovation, Educational innovation, Outreach and Scale, Network building, and Complex Thinking. We envision that the integrated framework and typology proposed, scaffolded by complex thinking, can comprehensively broaden the impact of CS initiatives.

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Towards a Transdisciplinary Theoretical Framework of Citizen Science: Results from a Meta-Review Analysis

Cited by 24 publications

References 67 publications

Child and family experiences of a whole-system approach to physical activity: a citizen science evaluation protocol

Child and family experiences of a whole-system approach to physical activity: a citizen science evaluation protocol

Big data from customers and non-customers through crowdsourcing, citizen science and crowdfunding

A Threshold for Citizen Science Projects: Complex Thinking as a Driver of Holistic Development

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