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.

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Source https://hal.science/hal-00803702
Author Benouaret, Karim, Valliyur-Ramalingam, Raman, Charoy, François
Maintainer CCSD
Last Updated May 12, 2026, 05:12 (UTC)
Created May 12, 2026, 05:12 (UTC)
Identifier hal-00803702
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Services and Cooperation (SCORE) ; Centre Inria de l'Université de Lorraine ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Networks, Systems and Services (LORIA - NSS) ; Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) ; Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA) ; Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
creator Benouaret, Karim
date 2013-02-28T00:00:00
harvest_object_id 76255581-30a4-40ea-bd47-f2445e2ab131
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-11-04T00:00:00
set_spec type:REPORT