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All Outputs (3)

Embedding citizens within airborne microplastic and microfibre research (2023)
Journal Article
Williams, B., De Vito, L., Margarida Sardo, A., Pringle, K., Hansen, M., Taylor, M., …Hayes, E. (2023). Embedding citizens within airborne microplastic and microfibre research. Cambridge Prisms: Plastics, 1(e11), 1-5. https://doi.org/10.1017/plc.2023.11

Microplastics are ubiquitous in our environment but their presence in air is less well understood. Homes are likely a key source of airborne microplastics and microfibres to the environment owing to the frequent use and storage of plastics and textil... Read More about Embedding citizens within airborne microplastic and microfibre research.

Reflecting on deepening participation in recruitment and evaluation in citizen science - lessons from the WeCount project (2022)
Journal Article
Sardo, M., Laggan, S., Franchois, E., & Fogg-Rogers, L. (2022). Reflecting on deepening participation in recruitment and evaluation in citizen science - lessons from the WeCount project. fteval Journal for Research and Technology Policy Evaluation, 54, 20-32. https://doi.org/10.22163/fteval.2022.568

This paper focuses on an urban mobility citizen science project in which citizens participated in several ways, from technical development to engagement and evaluation. Drawing on asset-based community development, the WeCount project aimed to empowe... Read More about Reflecting on deepening participation in recruitment and evaluation in citizen science - lessons from the WeCount project.

Applying social learning to climate communications- visualising 'people like me' in air pollution and climate change data (2021)
Journal Article
Fogg-Rogers, L., Hayes, E., Vanherle, K., Pápics, P. I., Chatterton, T., Barnes, J., …Longhurst, J. (2021). Applying social learning to climate communications- visualising 'people like me' in air pollution and climate change data. Sustainability, 13(6), Article 3406. https://doi.org/10.3390/su13063406

Technological approaches to carbon emission and air pollution data modelling consider where the issues are located and what is creating emissions. This paper argues that more focus should be paid to people-the drivers of vehicles or households burnin... Read More about Applying social learning to climate communications- visualising 'people like me' in air pollution and climate change data.