mobile communication and big data by prof. richard ling

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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 University

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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

7WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

What influences behavior?

8WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

Personal utility

What influences behavior?

9WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

Personal utility

What influences behavior?

Social embeddedness

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

$$ $ $ $

Single, (non-segment) Single (Segment) Dyad, one offer Dyad, two offers0

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12WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

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Single, (non-segment) Single (Segment) Dyad, one offer Dyad, two offers0

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Homophily

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$$ $ $ $

Single, (non-segment) Single (Segment) Dyad, one offer Dyad, two offers0

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Homophily

Influence

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

15WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

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

17WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

Personal utility

What influences behavior?

Social embeddedness

Homophily Influence

Focus on treating the individual

18WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

Effect of mobile intervention on glycosylated haemoglobin in Yoon and Kim 2008

19WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

Personal utility

What influences behavior?

Social embeddedness

Homophily Influence

Focus on treating the individual

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

21WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

Possible outcome

T1 T2 T3 T4 T5 T6 T75

5.5

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6.5

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7.5

ControlIndividualDyadicH

bA1c

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

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)

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