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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,mobile crowdsourcing, urban awareness, collective action, social and urban computing, Global South, pervasive computing, mobile, big data, data analysis, embedded systems
"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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