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Healthy Cities: Tracking Population Health from Grocery Bags and Smart Watches
Published on Jul 19, 201929 Views
We will see how to aggregate both readings from consumer wearable devices and records of food purchases to track people’s well-being at scale. From 11,600 Nokia Health wearables, we collected readings
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Chapter list
The data and life of great future cities00:00
Design for urban beauty00:01
Design for urban beauty - 200:54
Design for urban beauty - 301:29
The Shortest Path to Happiness 02:28
The Shortest Path to Happiness - 202:40
The Shortest Path to Happiness - 303:38
Chatty maps: constructing sound maps of urban areas from social media data08:25
First urban sound dictionary08:50
First urban sound dictionary - 210:47
Chatty maps11:05
Chatty maps - 211:30
#nature pics -> calm12:30
Good city life14:45
Smell walks Amsterdam, Pamplona, Glasgow, Edinburgh, Newport, Paris, New York.15:08
Match collected words to social media17:50
What are you up to today19:58
Good city life21:12
Hearts and politics21:28
Hearts and Politics: Metrics for tracking biorhythm changes during Brexit and Trump21:40
Aggregate avg volume of heart rate22:28
3 Metrics23:11
Volume23:33
Volume: steps23:35
Volume: sleep24:00
Volume: avg heart rate24:42
Volume: avg heart rate - 224:51
Ruling out confounding factors25:21
Ruling out confounding factors - 226:23
Rhythms27:16
Rhythm disruption27:20
Rhythm disruption - results27:52
Rhythm disruption - results - 228:36
Rhythm disruption - results - 328:58
Synchronicity29:06
Synchronicity disruption 29:16
Synchronicity disruption - results30:02
Synchronicity disruption - results - 230:54
Good city life31:06
Your life in a grocery bag31:23
Essential part of our life31:28
Lifestyle diseases32:07
Food consuption32:49
Penetration33:44
The “average” food product33:58
Dataset coming soon34:18
Prescription data34:31
Map of nutrient diversity35:41
You can predict diabetes from nutrient diversity & calories, for example36:25
What can we learn from billions of food purchases derived from fidelity cards?37:40
Large-scale and high-resolution analysis of food purchases and health outcomes37:52
Self-representation41:19
Food consumption vs. online representation: soup41:51
Food consumption vs. online representation: alcohol42:12
Help me42:59
[ACM cscw’14] Aesthetic Capital: What Makes London Look Beautiful, Quiet, and Happy? 44:43
Satellite data45:03
NLP Dreams: continuity hypothesis45:32
Goodcitylife.org46:42