Matthias Stevens

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Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel approach to monitor noise pollution involving the general public. Using(More)
In this paper we present a new approach to monitor noise pollution involving citizens and built upon the notions of participatory sensing and citizen science. We enable citizens to measure their personal exposure to noise in their everyday environment by using GPS-equipped mobile phones as noise sensors. The geo-localised measures and user-generated(More)
Participatory sensing enables a person-centric collection of environmental measurement datawith, in principle, high granularity in space and time. In this paperweprovide concrete proof that participatory techniques, when implemented properly, can achieve the same accuracy as standard noise mapping techniques. We do this through a citizen science experiment(More)
In this paper we present a new approach for the assessment of noise pollution involving the general public. The goal of this project is to turn GPS-equipped mobile phones into noise sensors that enable citizens to measure their personal exposure to noise in their everyday environment. Thus each user can contribute by sharing their geolocalised measurements(More)
In this paper we present our research into participatory sensing based solutions for the collection of data on urban pollution and nuisance. In the past 2 years we have been involved in the NoiseTube project which explores a crowdsourcing approach to measuring and mapping urban noise pollution using smartphones. By involving the general public and using(More)
Participatory sensing is a crowd-sourcing technique which relies both on active contribution of citizens and on their location and mobility patterns. As such, it is particularly vulnerable to privacy concerns, which may seriously hamper the large-scale adoption of participatory sensing applications. In this paper, we present a privacy-preserving system(More)
This paper describes a project initiated by non-literate indigenous people to equip their own "citizen scientists" with rugged smartphones running adapted software that enable them to share some of their detailed environmental knowledge in ways that improve the sustainable management of their forest. Supporting local people to share their environmental(More)
We propose a particular approach by which computer science can aid on the technological side of sustainable development, which at the same time contributes to raising people’s awareness of the issues at hand. In particular we develop a so-called community memory for urban environmental measurement surveys, focusing on noise, microclimate and atmospheric(More)
University College London's Extreme Citizen Science research group (UCL ExCiteS) is experimenting with ways to incorporate the most marginalized communities into participatory citizen science activities through which they can share their indigenous knowledge. The group works with communities at the extremes of the globalized world--both because of(More)
Participatory sensing allows for a person-centric approach to gathering environmental measurement data with, in principle, high granularity in space and time. Here we report on a citizen science experiment for noise mapping a 1 km area in the city of Antwerp using NoiseTube, a participatory sensing framework for monitoring ambient noise. At the technical(More)