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Healthy Cities: Tracking Population Health from Grocery Bags and Smart Watches
Published on 2019-07-1939 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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Presentation
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
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
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