Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological system
Quantitative plant biology is a growing field, thanks to the substantial progress of models and artificial intelligence dealing with big data. However, collecting large enough datasets is not always straightforward. The citizen science approach can multiply the workforce, hence helping the researche...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2022-01-01
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| Series: | Quantitative Plant Biology |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2632882822000169/type/journal_article |
| _version_ | 1827994345100279808 |
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| author | Aurore Receveur Lucie Poulet Benjamin Dalmas Barbara Gonçalves Antoine Vernay |
| author_facet | Aurore Receveur Lucie Poulet Benjamin Dalmas Barbara Gonçalves Antoine Vernay |
| author_sort | Aurore Receveur |
| collection | DOAJ |
| description | Quantitative plant biology is a growing field, thanks to the substantial progress of models and artificial intelligence dealing with big data. However, collecting large enough datasets is not always straightforward. The citizen science approach can multiply the workforce, hence helping the researchers with data collection and analysis, while also facilitating the spread of scientific knowledge and methods to volunteers. The reciprocal benefits go far beyond the project community: By empowering volunteers and increasing the robustness of scientific results, the scientific method spreads to the socio-ecological scale. This review aims to demonstrate that citizen science has a huge potential (i) for science with the development of different tools to collect and analyse much larger datasets, (ii) for volunteers by increasing their involvement in the project governance and (iii) for the socio-ecological system by increasing the share of the knowledge, thanks to a cascade effect and the help of ‘facilitators’. |
| first_indexed | 2024-04-10T04:38:33Z |
| format | Article |
| id | doaj.art-5750fe5f627c4c06af9ffc2571d7f2e3 |
| institution | Directory Open Access Journal |
| issn | 2632-8828 |
| language | English |
| last_indexed | 2024-04-10T04:38:33Z |
| publishDate | 2022-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Quantitative Plant Biology |
| spelling | doaj.art-5750fe5f627c4c06af9ffc2571d7f2e32023-03-09T12:43:35ZengCambridge University PressQuantitative Plant Biology2632-88282022-01-01310.1017/qpb.2022.16Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological systemAurore Receveur0https://orcid.org/0000-0003-0675-4172Lucie Poulet1https://orcid.org/0000-0003-3659-224XBenjamin Dalmas2https://orcid.org/0000-0002-6386-5226Barbara Gonçalves3Antoine Vernay4https://orcid.org/0000-0003-2403-3993OFP/FEMA, Pacific Community, 95 Promenade Roger Laroque, BP D5, 98848 Nouméa, New Caledonia, France CESAB-FRB, 5 Rue de l’École de Médecine, 34000, MontpellierUniversité Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, FranceComputer Research Institute of Montreal, Montreal, QC H3N 1M3, CanadaUniversité Clermont Auvergne, Centre Michel de l’Hospital, F-63000 Clermont-Ferrand, FranceUniv Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, F-69622 Villeurbanne, FranceQuantitative plant biology is a growing field, thanks to the substantial progress of models and artificial intelligence dealing with big data. However, collecting large enough datasets is not always straightforward. The citizen science approach can multiply the workforce, hence helping the researchers with data collection and analysis, while also facilitating the spread of scientific knowledge and methods to volunteers. The reciprocal benefits go far beyond the project community: By empowering volunteers and increasing the robustness of scientific results, the scientific method spreads to the socio-ecological scale. This review aims to demonstrate that citizen science has a huge potential (i) for science with the development of different tools to collect and analyse much larger datasets, (ii) for volunteers by increasing their involvement in the project governance and (iii) for the socio-ecological system by increasing the share of the knowledge, thanks to a cascade effect and the help of ‘facilitators’.https://www.cambridge.org/core/product/identifier/S2632882822000169/type/journal_articlebig datacitizen scienceinvolvementquantitative datasocio-ecological system |
| spellingShingle | Aurore Receveur Lucie Poulet Benjamin Dalmas Barbara Gonçalves Antoine Vernay Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological system Quantitative Plant Biology big data citizen science involvement quantitative data socio-ecological system |
| title | Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological system |
| title_full | Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological system |
| title_fullStr | Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological system |
| title_full_unstemmed | Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological system |
| title_short | Citizen science: How to extend reciprocal benefits from the project community to the broader socio-ecological system |
| title_sort | citizen science how to extend reciprocal benefits from the project community to the broader socio ecological system |
| topic | big data citizen science involvement quantitative data socio-ecological system |
| url | https://www.cambridge.org/core/product/identifier/S2632882822000169/type/journal_article |
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