Geocentric Crowdsourcing and Smarter Cities: Enabling Urban Intelligence in Cities and Regions
نویسنده
چکیده
This paper explores the application of crowdsourcing to cities and regions – what I call “geocentric crowdsourcing.” My basic interest is in how crowdsourcing can be used to enable cities and regions to more effectively address issues ranging from infrastructure to governance. I have two entwined aims in this position paper. One is to discuss the notion of smarter cities, and the ways in which crowdsourcing might contribute. The other is to suggest some distinctions for thinking about crowdsourcing: a four quadrant model of crowdsourcing, and computational vs. deliberative crowdsourcing. I intend these distinctions as grist for a workshop activity aimed at developing a principled way of thinking about crowdsourcing systems. Author
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