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This work describes SenseCityVity, an approach to engage and support youth in a city in Mexico as they investigate, document, and reflect upon urban problems through mobile crowdsourcing. SenseCityVity focused on the development of a mobile crowdsourcing platform; the deployment of the Urban Data Challenge, codesigned by the authors' research team and actors to collect geolocalized images, audio, and video; and the analysis, appropriation, and creative use of the collected data for community reflection and artistic creation. The approach integrates mobile technology and community practices involving a large population of young people for urban engagement. The collective action generated a new multimedia dataset that is rich in terms of content and is enabling a number of studies aimed at better understanding the urban landscape of cities in the Global South. This article is part of a special issue on smart cities.
Urban areas, Mobile communication, Crowdsourcing, Sociology, Statistics, Data collection, Social network services, Urban areas, Big data, Data analysis
"SenseCityVity: Mobile Crowdsourcing, Urban Awareness, and Collective Action in Mexico", IEEE Pervasive Computing, vol. 16, no. , pp. 44-53, Apr.-June 2017, doi:10.1109/MPRV.2017.32
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