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Citizen science’s transformative impact on science, citizen empowerment and socio-political processes

von Gönner, Julia; Herrmann, Thora M.; Bruckermann, Till; Eichinger, Michael; Hecker, Susanne; Klan, Friederike; Lorke, Julia; Richter, Anett; Sturm, Ulrike; Voigt-Heucke, Silke; Brink, Wiebke; Liedtke, Christin; Premke-Kraus, Matthias; Altmann, Carolin; Bauhus, Wilhelm; Bengtsson, Luiza; Büermann, Andrea; Dietrich, Peter; Dörler, Daniel; ... mehr

Abstract:

Citizen science (CS) can foster transformative impact for science, citizen empowerment and socio-political processes. To unleash this impact, a clearer understanding of its current status and challenges for its development is needed. Using quantitative indicators developed in a collaborative stakeholder process, our study provides a comprehensive overview of the current status of CS in Germany, Austria and Switzerland. Our online survey with 340 responses focused on CS impact through (1) scientific practices, (2) participant learning and empowerment, and (3) socio-political processes. With regard to scientific impact, we found that data quality control is an established component of CS practice, while publication of CS data and results has not yet been achieved by all project coordinators (55%). Key benefits for citizen scientists were the experience of collective impact (“making a difference together with others”) as well as gaining new knowledge. For the citizen scientists’ learning outcomes, different forms of social learning, such as systematic feedback or personal mentoring, were essential. While the majority of respondents attributed an important value to CS for decision-making, only few were confident that CS data were indeed utilized as evidence by decision-makers. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000155250
Veröffentlicht am 30.01.2023
Originalveröffentlichung
DOI: 10.1007/s42532-022-00136-4
Scopus
Zitationen: 10
Dimensions
Zitationen: 12
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2023
Sprache Englisch
Identifikator ISSN: 2524-5279, 2524-5287
KITopen-ID: 1000155250
HGF-Programm 46.24.01 (POF IV, LK 01) Applied TA: Digitalizat. & Automat. Socio-Technical Change
Erschienen in Socio-Ecological Practice Research
Verlag Springer Nature Singapore
Vorab online veröffentlicht am 12.01.2023
Schlagwörter Participatory research, Research data management, Data quality, Social learning, Political uptake, Recognition
Nachgewiesen in Dimensions
Scopus
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