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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Sîrbu, A., Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V.D.P., Stumme, G., Theunis, J., Tria, F. & Van den Bossche, J. Participatory Patterns in an International Air Quality Monitoring Initiative 2015 PLoS ONE
    Vol. 10(8), pp. e0136763 
    article DOI URL 
    Abstract: <p>The issue of sustainability is at the top of the political and societal agenda, being considered of extreme importance and urgency. Human individual action impacts the environment both locally (e.g., local air/water quality, noise disturbance) and globally (e.g., climate change, resource use). Urban environments represent a crucial example, with an increasing realization that the most effective way of producing a change is involving the citizens themselves in monitoring campaigns (a citizen science bottom-up approach). This is possible by developing novel technologies and IT infrastructures enabling large citizen participation. Here, in the wider framework of one of the first such projects, we show results from an international competition where citizens were involved in mobile air pollution monitoring using low cost sensing devices, combined with a web-based game to monitor perceived levels of pollution. Measures of shift in perceptions over the course of the campaign are provided, together with insights into participatory patterns emerging from this study. Interesting effects related to inertia and to direct involvement in measurement activities rather than indirect information exposure are also highlighted, indicating that direct involvement can enhance learning and environmental awareness. In the future, this could result in better adoption of policies towards decreasing pollution.</p>
    BibTeX:
    @article{10.1371/journal.pone.0136763,
      author = {Sîrbu, Alina and Becker, Martin and Caminiti, Saverio and De Baets, Bernard and Elen, Bart and Francis, Louise and Gravino, Pietro and Hotho, Andreas and Ingarra, Stefano and Loreto, Vittorio and Molino, Andrea and Mueller, Juergen and Peters, Jan and Ricchiuti, Ferdinando and Saracino, Fabio and Servedio, Vito D. P. and Stumme, Gerd and Theunis, Jan and Tria, Francesca and Van den Bossche, Joris},
      title = {Participatory Patterns in an International Air Quality Monitoring Initiative},
      journal = {PLoS ONE},
      publisher = {Public Library of Science},
      year = {2015},
      volume = {10},
      number = {8},
      pages = {e0136763},
      url = {http://dx.doi.org/10.1371%2Fjournal.pone.0136763},
      doi = {http://dx.doi.org/10.1371/journal.pone.0136763}
    }
    
    Hasenfratz, D., Saukh, O., Walser, C., Hueglin, C., Fierz, M. & Thiele, L. Pushing the spatio-temporal resolution limit of urban air pollution maps 2014 Proceedings of the 12th International Conference on Pervasive Computing and Communications (PerCom 2014), pp. 69-77  inproceedings  
    BibTeX:
    @inproceedings{HSWHFT2014,
      author = {Hasenfratz, David and Saukh, Olga and Walser, Christoph and Hueglin, Christoph and Fierz, Martin and Thiele, Lothar},
      title = {Pushing the spatio-temporal resolution limit of urban air pollution maps},
      booktitle = {Proceedings of the 12th International Conference on Pervasive Computing and Communications (PerCom 2014)},
      year = {2014},
      pages = {69--77}
    }
    
    Kanjo, E. NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping 2010 Mobile Networks and Applications
    Vol. 15(4), pp. 562-574 
    article DOI URL 
    Abstract: In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.
    BibTeX:
    @article{kanjo2010noisespy,
      author = {Kanjo, Eiman},
      title = {NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping},
      journal = {Mobile Networks and Applications},
      publisher = {Kluwer Academic Publishers},
      year = {2010},
      volume = {15},
      number = {4},
      pages = {562--574},
      url = {http://dx.doi.org/10.1007/s11036-009-0217-y},
      doi = {http://dx.doi.org/10.1007/s11036-009-0217-y}
    }
    
    Maisonneuve, N., Stevens, M. & Ochab, B. Participatory noise pollution monitoring using mobile phones 2010 Information Polity
    Vol. 15(1), pp. 51-71 
    article DOI URL 
    Abstract: 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 their mobile phones as noise sensors, we provide a low cost solution for the citizens to measure their personal exposure to noise in their everyday environment and participate in the creation of collective noise maps by sharing their geo-localized and annotated measurements with the community. Our prototype, called NoiseTube, can be found online [1].
    BibTeX:
    @article{maisonneuve2010participatory,
      author = {Maisonneuve, Nicolas and Stevens, Matthias and Ochab, Bartek},
      title = {Participatory noise pollution monitoring using mobile phones},
      journal = {Information Polity},
      publisher = {IOS Press},
      year = {2010},
      volume = {15},
      number = {1},
      pages = {51--71},
      url = {http://dx.doi.org/10.3233/IP-2010-0200},
      doi = {http://dx.doi.org/10.3233/IP-2010-0200}
    }
    

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