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

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

Abstract

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: Article
Erschienen: 2013
Creators: Laurila, Juha and Gatica-Perez, Daniel and Aad, Imad and Blom, Jan and Bornet, Olivier and Do, Trinh Minh Tri and Dousse, Olivier and Eberle, Julien and Miettinen, Markus
Title: From big smartphone data to worldwide research: The Mobile Data Challenge
Language: German
Abstract:

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.

Journal or Publication Title: Pervasive and Mobile Computing
Volume: 9
Uncontrolled Keywords: ICRI-SC
Divisions: 20 Department of Computer Science
20 Department of Computer Science > System Security Lab
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
Date Deposited: 04 Aug 2016 10:13
DOI: 10.1016/j.pmcj.2013.07.014
Identification Number: TUD-CS-2013-0320
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