Mapping the current landscape of citizen-driven environmental monitoring: a systematic literature review

Rathnayake, Chaminda; Joshi, Somya; Pargman, Teresa Cerratto

doi:10.1080/15487733.2020.1829845

Cited by 12 publications

(10 citation statements)

References 37 publications

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“…Three case studies in Kenya, Myanmar, and Canada were also identified. These results reflect documented trends in the greater use of citizen science in developed countries, especially the United States and Europe, than in developing countries, which often have fewer resources or opportunities to use these approaches (Pocock et al 2019;Rathnayake et al 2020). Researchers have suggested that limited networking, organizational, and collaboration capacities, including the lack of volunteer participation, are the most common reasons why large-scale citizen science programs are rarely found in developing countries (Requier et al 2020).…”

Section: Figure 1 | Monitoring Approach Used In Case Studiesmentioning

confidence: 57%

Clean Air Action: Applications of Citizen Science to Identify and Address Air Pollution Emission Sources

Moses

2022

WRIPUB

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Growing awareness of the health and environmental burden of air pollution combined with access to new low cost air pollution monitors has helped drive the explosion of citizen science initiatives. Despite this momentum, there remains little public attention to the sources or drivers of air pollution. Without greater emphasis on source awareness, scientists or community members using citizen science techniques cannot effectively identify or target interventions that cut emissions or build pressure for policies that hold specific polluters accountable to legal pollutant limits or best practices. To help understand how citizen science initiatives reflect or focus on sources of air pollution, this paper presents reflections from a purposive literature review of 33 case studies. Specifically it provides insights and a typology of citizen science initiatives that characterize how citizen science initiatives impact air pollution sources and provides recommendations for future approaches that could strengthen participatory science focused on pollution sources.

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Section: Figure 1 | Monitoring Approach Used In Case Studiesmentioning

confidence: 57%

Clean Air Action: Applications of Citizen Science to Identify and Address Air Pollution Emission Sources

Moses

2022

WRIPUB

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“…This stage gives us 234 papers. In Stage 2 (conducting the review stage), involves carrying out the review of relevant articles [7,8,[13][14][15]. Initially, the dataset in the spreadsheet subjected to a round of duplicate removal (n = 20), which produces an overall set of 214 papers.…”

Section: Methodsmentioning

confidence: 99%

“…This step results in the inclusion of papers only related to AI. We include articles like a paper on primary production appraisals as relevant for our review, as such an article not only communicate understanding of the dynamics of this relationship with oceanic food webs, energy process carbon cycle and earth's climate, but also provides an analysis In Stage 2 (conducting the review stage), involves carrying out the review of relevant articles [7,8,[13][14][15]. Initially, the dataset in the spreadsheet subjected to a round of duplicate removal (n = 20), which produces an overall set of 214 papers.…”

Section: Methodsmentioning

confidence: 99%

Smart Fishery: A Systematic Review and Research Agenda for Sustainable Fisheries in the Age of AI

2021

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Applications of artificial intelligence (AI) technologies for improving the sustainability of the smart fishery have become widespread. While sustainability is often claimed to be the desired outcome of AI applications, there is as yet little evidence on how AI contributes to the sustainable fishery. The purpose of this paper is to perform a systematic review of the literature on the smart fishery and to identify upcoming themes for future research on the sustainable fishery in the Age of AI. The findings of the review reveal that scholarly attention in AI-inspired fishery literature focuses mostly on automation of fishery resources monitoring, mainly detection, identification, and classification. Some papers list marine health and primary production which are vital dimensions for Large Marine Ecosystems to recycle nutrients to sustain anticipated production levels. Very few reviewed articles refer to assessing individual needs, particularly fishers, from AI deployment in fisheries and policy response from governments. We call for future AI for sustainable fishery studies on how fishers perceive AI needs, and how governments possess a tangible strategy or depth of understanding on the regulation of AI concerning smart fishery systems and research on resilience-enhancing policies to promote the value and potentials of the AI-inspired smart fishery in different locations.

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“…Despite worldwide political support for the development of citizen observatories, including by the European Commission, several reservations have been expressed about the reliability of data obtained via citizen-based observations compared to those obtained by professional researchers, and the lack of quality standards needed for informed decisionmaking and environmental governance. Indeed, there are studies demonstrating limitations in the scalability and reliability of data collected through citizen observatories [19]. Nevertheless, there is also evidence that the citizen-centred approach used by citizen observatories appears to translate into sustained participation by participants, leading to the generation of better-quality data [20].…”

Section: Citizen Observatories: Opportunities To Support the Sdgsmentioning

confidence: 99%

How Networks of Citizen Observatories Can Increase the Quality and Quantity of Citizen-Science-Generated Data Used to Monitor SDG Indicators

et al. 2022

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There is a growing acknowledgement that citizen observatories, and other forms of citizen-generated data, have a significant role in tracking progress towards the Sustainable Development Goals. This is evident in the increasing number of Sustainable Development Goals’ indicators for which such data are already being used and in the high-level recognition of the potential role that citizen science can play. In this article, we argue that networks of citizen observatories will help realise this potential. Drawing on the Cos4Cloud project as an example, we highlight how such networks can make citizen-generated data more interoperable and accessible (among other qualities), increasing their impact and usefulness. Furthermore, we highlight other, perhaps overlooked, advantages of citizen observatories and citizen-generated data: educating and informing citizen scientists about the Sustainable Development Goals and co-creating solutions to the global challenges they address.

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Mapping the current landscape of citizen-driven environmental monitoring: a systematic literature review

Cited by 12 publications

References 37 publications

Clean Air Action: Applications of Citizen Science to Identify and Address Air Pollution Emission Sources

Clean Air Action: Applications of Citizen Science to Identify and Address Air Pollution Emission Sources

Smart Fishery: A Systematic Review and Research Agenda for Sustainable Fisheries in the Age of AI

How Networks of Citizen Observatories Can Increase the Quality and Quantity of Citizen-Science-Generated Data Used to Monitor SDG Indicators

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