Data-Driven Cities
summary
A revival of social physics turns big phone, credit and Foursquare traces into equations that predict social outcomes: MIT research runs hundreds of group experiments showing a collective‑intelligence effect as strong as IQ; a neighborhood analysis finds one community has five times the risk of diabetes; analysis of 300 cities predicts GDP from face‑to‑face mixing; transit designs differ in predicted impact with one option raising London area GDP by 2%; real‑time cell‑tower maps and a Lego‑based simulator let planners test mixing and innovation.
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chapters (12)
- 0:00Social physics and city design
- 1:09Critique of urban economic thinking
- 2:55Big data in social science
- 4:19Idea collisions and innovation
- 5:45San Francisco's social tribes
- 8:11Communication and community health
- 9:58Poverty mapping in Ivory Coast
- 11:04Predicting city GDP from data
- 12:27Support versus creative collision
- 13:30Diversity measurement in Mexico City
- 14:11Lego city simulation platforms
- 15:16Designing innovative cities
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