CrowdSC: Building Smart Cities with Large Scale Citizen Participation

An elegant way to make cities smarter would be to design a platform where every citizen is given an opportunity to be effectively connected to the governing bodies in their location and to contribute to the general well being. In this paper, we present CrowdSC, an effective crowdsourcing framework designed for smarter cities. We show that it is possible to combine data collection, data selection and data assessment crowdsourcing activities in a crowdsourcing process to achieve sophisticated goals in a predefined context. We propose different strategies for managing this process. We also present an experimental study that evaluate outcomes of the process depending on these execution strategies

Answering Complex Location-Based Queries with Crowdsourcing

International audienceCrowdsourcing platforms provide powerful means to execute queries that require some human knowledge, intelligence and experience instead of just automated machine computation, such as image recognition, data filtering and labeling. With the development of mobile devices and the rapid prevalence of smartphones that boosted mobile Internet access, location-based crowdsourcing is quickly becoming ubiquitous, enabling location-based queries assigned to and performed by humans. In sharp contrast of existing location-based crowdsourcing approaches that focus on simple queries, in this paper, we describe a crowdsourcing process model that supports queries including several crowd activities, and can be applied in a variety of location-based crowdsourcing scenarios. We also propose different strategies for managing this crowdsourcing process. Finally, we describe the architecture of our system, and present an experimental study conducted on pseudo-real dataset that evaluates the process outcomes depending on these execution strategies

CrowdSC: Building Smart Cities with Large-Scale Citizen Participation

International audienceAn elegant way to make cities smarter would be to design a platform where citizens are given an opportunity to be effectively connected to the governing bodies in their location and to contribute to the general well being. In this paper, we present CrowdSC, a crowdsourcing framework designed for smarter cities. We show that it is possible to combine data collection, data selection and data assessment crowdsourcing activities in a crowdsourcing process to achieve sophisticated goals in a predefined context. We show that depending on the executing strategy of this process, different kind of outcomes can be produced. We present an experimental study that evaluate these process outcomes depending on different execution strategie