Extreme citizen science: Lessons learned from initiatives around the globe

Chiaravalloti, Rafael Morais; Skarlatidou, Artemis; Hoyte, Simon; Badia, Marcos Moreu; Haklay, Muki; Lewis, Jérôme

doi:10.1111/csp2.577

Cited by 31 publications

(30 citation statements)

References 34 publications

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“…This can also help mainstream the use of CS in threatened species monitoring. Connections with local communities can feed back into CS programs, driving collaborative or co‐created programs around threatened species of particular local interest (Chiaravalloti et al, 2021; Shirk et al, 2012; Skarlatidou & Haklay, 2021).…”

Section: Recommendationsmentioning

confidence: 99%

The risks and rewards of community science for threatened species monitoring

Soroye

Edwards

Buxton

et al. 2022

Conservat Sci and Prac

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Finding ways of efficiently monitoring threatened species can be critical to effective conservation. The global proliferation of community science (also called citizen science) programs, like iNaturalist, presents a potential alternative or complement to conventional threatened species monitoring. Using a case study of ~700,000 observations of >10,000 IUCN Red List Threatened species within iNaturalist observations, we illustrate the potential risks and rewards of using community science to monitor threatened species. Poor data quality and risks of sending untrained volunteers to sample species that are sensitive to disturbance or harvesting are key barriers to overcome. Yet community science can expand the breadth of monitoring at little extra cost, while indirectly benefiting conservation through outreach and education. We conclude with a list of actionable recommendations to further mitigate the risks and capitalize on the rewards of community science as a threatened species monitoring tool.

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Section: Recommendationsmentioning

confidence: 99%

The risks and rewards of community science for threatened species monitoring

Soroye

Edwards

Buxton

et al. 2022

Conservat Sci and Prac

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show abstract

“…As a direct result of the creation of the Protected areas, these communities experienced physical and economic displacement 32 . The local sher communities in the area deployed Sapelli as a tool to record the areas they use for shing and gathering bait 33 . Communities and researchers co-designed the project to record these in order to better understand and represent community landscape use, with a view to ultimately recording traditional territorial boundaries.…”

Section: Fisher Communities In Brazilmentioning

confidence: 99%

Deep democratisation of technology can support a pluriverse of approaches for sustainability

Haklay

Moustard²,

Lewis

et al. 2022

Preprint

Self Cite

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The overwhelming global dominance of modern industrialism stifles the visibility of alternative ways of being in the present and of what solutions to large-scale challenges may be appropriate. This paper describes how novel high-tech digital tools can be co-designed with people with different worldviews or ‘ontologies’ to better represent their normally marginalised understandings, and so begin to generate a pluriverse of localised pathways to address the future. To do so, such digital tools are not considered as technological artefacts but as socio-technical processes designed around local worldviews to encode alternative understandings of local issues and local knowledge into data collection and visualisation processes. We describe how the Sapelli digital mapping tool is implemented through participatory co-design approaches with Indigenous people, farmers, and agro-pastoralists. Representing different cultures and local knowledge systems in a digital third space has revealed a plurality of approaches to addressing environmental change that differ substantially from those conventionally envisaged.

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“…Parallel to the improvement of the weather models has been the advent of new technological and scientific advances that have changed the way surface observations are acquired. The appearance, consolidation, and current ubiquity of wireless networks, coupled with decreasing hardware prices, implies that today the acquisition of surface observations is possible practically anywhere on Earth [6]. These favorable conditions prompted the organic (or commercial) creation of new observational networks in which participants install personal weather stations (PWS) in their available spaces (e.g.…”

Section: Introductionmentioning

confidence: 99%

Pushing the Nyquist-Shannon limit: exploiting multi-fidelity observations to provide high-resolution weather maps for climate services, early warning centres and weather forecasts

Beekvelt¹,

Garcia‐Martí²,

Baar³

2023

Preprint

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The pursue of a higher-resolution gridded climate data and weather forecast requires an unprecedented number of surface observations to model the sub-mesoscale. National meteorological services (NMS) have practical and financial limitations to the number of observations it can collect, therefore, opening the door to crowdsourced weather initiatives might be an interesting option to mitigate data scarcity. In recent years, scientists have made remarkable efforts at assessing the quality of crowdsourced collections and determining ways these can add value to the “daily business” of NMS. In this work, we develop and apply a multi-fidelity spatial regression method capable of combining official observations with crowdsourced observations, which enables the creation of high-resolution interpolations of weather variables. The availability of a sheer volume of crowdsourced observations also poses questions on what is the maximum weather complexity that can be modelled with these novel data sources. We include a structured theoretical analysis simulating increasingly complex weather patterns that uses the Shannon-Nyquist limit as a benchmark. Results show that the combination of official and crowdsourced weather observations pushes further the Shannon-Nyquist limit, thus indicating that crowdsourced data contributes at monitoring sub-mesoscale weather processes (e.g. urban scales). We think that this effort illustrates well the potential of crowdsourced data, not only to expand the current range of products and services at NMS, but also opening the door for high-resolution weather forecast and monitoring, issuing local early warnings and advancing towards impact-based analyses.

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Extreme citizen science: Lessons learned from initiatives around the globe

Cited by 31 publications

References 34 publications

The risks and rewards of community science for threatened species monitoring

The risks and rewards of community science for threatened species monitoring

Deep democratisation of technology can support a pluriverse of approaches for sustainability

Pushing the Nyquist-Shannon limit: exploiting multi-fidelity observations to provide high-resolution weather maps for climate services, early warning centres and weather forecasts

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