From big smartphone data to worldwide research: The Mobile Data Challenge

Laurila, Juha K.; Gatica-Perez, Daniel; Aad, Imad; Blom, Jan; Bornet, Olivier; Do, Trinh Minh Tri; Dousse, Olivier; Eberle, Julien; Miettinen, Markus (2013). From big smartphone data to worldwide research: The Mobile Data Challenge. Pervasive and Mobile Computing, 9(6), 752 - 771. Elsevier 10.1016/j.pmcj.2013.07.014

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This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of mobile data analysis methodologies. First, we review the Lausanne Data Collection Campaign (LDCC), an initiative to collect unique longitudinal smartphone dataset for the MDC. Then, we introduce the Open and Dedicated Tracks of the MDC, describe the specific datasets used in each of them, discuss the key design and implementation aspects introduced in order to generate privacy-preserving and scientifically relevant mobile data resources for wider use by the research community, and summarize the main research trends found among the 100+ challenge submissions. We finalize by discussing the main lessons learned from the participation of several hundred researchers worldwide in the MDC Tracks.

Item Type:

Journal Article (Original Article)


08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Aad, Imad Rafic


000 Computer science, knowledge & systems
500 Science > 510 Mathematics








Dimitrios Xenakis

Date Deposited:

02 Apr 2014 13:24

Last Modified:

01 May 2020 10:47

Publisher DOI:


Uncontrolled Keywords:

Mobile data challenge, Smartphone data collection, Human behavior analysis




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