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Social Physics in Health
December 2014
Erez Shmueli, PhD
Social Physics
Society enabled by Big-Data
 Social physics deals withthequestionof
how to create organizations that are m...
 Sensing (Datsets):
 Call Data Records (CDRs)
 Spending data (Credit and Debit cards)
 Trading network (eToro)
 Reali...
The Friends and Family Living Lab
Reality Mining
 A revolution in social sciences
 Longer duration
 Higher measurement ...
Social Influence incentive mechanism is 3.5 times
as efficient as standard incentive mechanism
65 young families, 3 months...
The SMARTCATCH Living Lab
HistoryPushed questionnairesPassive collection
Eat Healthy
Feedback
Social Signals of Engagement
It’s not what you say. It’s how you say it!
Agent Desktop Not Engaged
Engaged
Low
Dynamism
Ha...
Health Signals
The sooner the better!
80% accuracy classification
Ginger.io
The 2013 D4D Challenge – Ivory Coast
Orange contributed the 1st Data Commons
90 Research teams from around the world
20% r...
Medical Teams’ Social Behavior
Sensing, Understanding and Shaping
10
OpenPDS
The new deal on data
Guiding principles:
 You have the right to possess,
control and dispose your data
 Anonymiz...
Sharing Social Health Data
 Field trial application exploring the capacity for personal data to
predict mental illnesses
...
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mHealth Israel conference_Professor Erez Shmueli_MIT Media Lab_social physics in health_Dec 15, 2014

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mHealth Israel conference, presentation by Professor Erez Shmueli, Tel Aviv University and MIT Media Lab, "Social Physics in Health", Dec 15, 2014

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mHealth Israel conference_Professor Erez Shmueli_MIT Media Lab_social physics in health_Dec 15, 2014

  1. 1. Social Physics in Health December 2014 Erez Shmueli, PhD
  2. 2. Social Physics Society enabled by Big-Data  Social physics deals withthequestionof how to create organizations that are more cooperative, productive, and creative?  The enginethatdrives social physics is thenewly ubiquitousdigital data thatis becoming available about all aspects of humanlife.  By usingthesedata to build a predictive, computationaltheory of humanbehavior we can hope to engineer better social systems.
  3. 3.  Sensing (Datsets):  Call Data Records (CDRs)  Spending data (Credit and Debit cards)  Trading network (eToro)  Reality Mining (Living Labs)  Understanding (Predicting):  Decision making  Popularity vs. quality  Ties (e.g. trust relationships, reciprocity)  Team performance  Network dynamics  Emergencies  Shaping… Sensing, Understanding and Shaping Social Behavior Some examples…
  4. 4. The Friends and Family Living Lab Reality Mining  A revolution in social sciences  Longer duration  Higher measurement rate  Larger sample size  Richer data  Passive collection!!! Data: 65 young families for one year, every 5 minutes Open Source System: 1500+ research teams around the world
  5. 5. Social Influence incentive mechanism is 3.5 times as efficient as standard incentive mechanism 65 young families, 3 months data Standard Incentive View peer performance Peer reward incentive FunfIt Using social incentives
  6. 6. The SMARTCATCH Living Lab HistoryPushed questionnairesPassive collection Eat Healthy Feedback
  7. 7. Social Signals of Engagement It’s not what you say. It’s how you say it! Agent Desktop Not Engaged Engaged Low Dynamism Halting Speech High Dynamism Balanced and Fluid Interaction Lots of Speech High Flow High Overlap Low Flow Little Speech
  8. 8. Health Signals The sooner the better! 80% accuracy classification Ginger.io
  9. 9. The 2013 D4D Challenge – Ivory Coast Orange contributed the 1st Data Commons 90 Research teams from around the world 20% reduction in infectious disease
  10. 10. Medical Teams’ Social Behavior Sensing, Understanding and Shaping 10
  11. 11. OpenPDS The new deal on data Guiding principles:  You have the right to possess, control and dispose your data  Anonymization is hard  Share answers, instead of raw data  Open-source and Auditable 11
  12. 12. Sharing Social Health Data  Field trial application exploring the capacity for personal data to predict mental illnesses  Social health metrics calculated from fine-grained sensor data (calls, SMS, accelerometer, device state)  Collaboration with DARPA and Cogito  Diagnosing veterans with PTSD 12

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