mobile communication and big data by prof. richard ling
DESCRIPTION
Presented during the WKWSCI Symposium 2014 21 March 2014 Marina Bay Sands Expo and Convention Centre Organized by the Wee Kim Wee School of Communication and Information at Nanyang Technological UniversityTRANSCRIPT
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WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Mobile communication and big data:Leveraging results for social benefit
Professor Rich LingIT University of Copenhagen
2WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Overview
• Mobile communication and mobile communication research
• Findings from mobile analysis of adoption• Application of findings to lifestyle diseases• The future of mobile research
3WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Overview
• Mobile communication and mobile communication research
• Findings from mobile analysis of adoption• Application of findings to lifestyle diseases• The future of mobile research
4WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Mobile communication is the most widely diffused mediation technology in the world
Mobile subscriptions6.8 billion
Internet users2.7 billion
Mobile internet users2.1 billion
Source ITU
5WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Future trajectory of mobile communication
• Provision of healthcare around the globe• Mobile payment• Interpersonal coordination• Systemic coordination of mobility• The internet of things (including wearable
computing)• Marketing and entrepreneurship
Overview
• Mobile communication and mobile communication research
• Findings from mobile analysis of adoption• Application of findings to lifestyle diseases• The future of mobile research
Mobile communication research center
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What influences behavior?
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Personal utility
What influences behavior?
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Personal utility
What influences behavior?
Social embeddedness
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Personal utility
What influences behavior?
Social embeddedness
Homophily Influence
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WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
$$ $ $ $
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Homophily
Influence
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Overview
• Mobile communication and mobile communication research
• Findings from mobile analysis of adoption• Application of findings to lifestyle diseases• The future of mobile research
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How is this finding useful in other contexts?
16WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities Source: Hossain et al. NEJM 2007 (million people)
• Type 2 diabetes is an epidemic• Type 2 diabetes is a life-style disease• Social influence can change lifestyles• Strong-tie partners can have an influential role• Changes in diet and exercise can be beneficial
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Personal utility
What influences behavior?
Social embeddedness
Homophily Influence
Focus on treating the individual
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Effect of mobile intervention on glycosylated haemoglobin in Yoon and Kim 2008
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Personal utility
What influences behavior?
Social embeddedness
Homophily Influence
Focus on treating the individual
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Type 2 Diabetics and their partners
Type 2 Diabetics and their partners (That are in supportive relationships)
Control
Individual communication
Dyadic communication
Randomassignment
Pre-test SMS Test SMS Test
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Possible outcome
T1 T2 T3 T4 T5 T6 T75
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ControlIndividualDyadicH
bA1c
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Overview
• Mobile communication and mobile communication research
• Findings from mobile analysis of adoption• Application of findings to lifestyle diseases• The future of mobile research
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The future of mobile research
Mobile communication research (in the broadest sense) can have global impact
• Policy• Health• Social dynamics of mobile communication• International development• Entrepreneurship and payment• Technical possibilities• Interpersonal coordination• Coordination at the personal and social level • The internet of things (including wearable computing)