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
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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
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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
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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
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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
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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
Mobile communication research center
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7WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
What influences behavior?
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8WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Personal utility
What influences behavior?
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9WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Personal utility
What influences behavior?
Social embeddedness
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10WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
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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12WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
$$ $ $ $
Single, (non-segment) Single (Segment) Dyad, one offer Dyad, two offers0
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Homophily
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13WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
$$ $ $ $
Single, (non-segment) Single (Segment) Dyad, one offer Dyad, two offers0
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Influence
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14WKWSCI 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
![Page 15: Mobile Communication and Big Data by Prof. Richard Ling](https://reader033.vdocument.in/reader033/viewer/2022061213/549746efac7959182e8b52a3/html5/thumbnails/15.jpg)
15WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
How is this finding useful in other contexts?
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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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17WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Personal utility
What influences behavior?
Social embeddedness
Homophily Influence
Focus on treating the individual
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18WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Effect of mobile intervention on glycosylated haemoglobin in Yoon and Kim 2008
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19WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Personal utility
What influences behavior?
Social embeddedness
Homophily Influence
Focus on treating the individual
![Page 20: Mobile Communication and Big Data by Prof. Richard Ling](https://reader033.vdocument.in/reader033/viewer/2022061213/549746efac7959182e8b52a3/html5/thumbnails/20.jpg)
20WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
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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21WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Possible outcome
T1 T2 T3 T4 T5 T6 T75
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22WKWSCI 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
![Page 23: Mobile Communication and Big Data by Prof. Richard Ling](https://reader033.vdocument.in/reader033/viewer/2022061213/549746efac7959182e8b52a3/html5/thumbnails/23.jpg)
23WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
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)