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Urban*: Crowdsourcing for the Good of London
- 1. Urban*: Crowdsourcing for the good of London @danielequercia
- 2. Situation 75% in USA (already!) plus 1.2B by 2025 in USA plus 5M /month in developing
- 4. Solution $ Timely allocation of scarce resources
- 5. r=.350 word count r=.365 MaxEnt predicting socioeconomic well-being with twitter
- 6. social media environment sports health Royal wedding Spanish/Portuguese celebrity gossips Talk of the City [ICWSM’12]
- 8. well-off deprived Visibility visibility & well-being
- 11. WWW Game! WEIRD trap! Few hundreds of WEIRDos White,Educated,Industrialized,Rich, and Democratic undergraduates
- 12. URBANOPTICON.ORG
- 13. launched few months ago > 2K players
- 14. Regions
- 15. Boroughs
- 18. Distinctiveness (e.g., interesting architecture) Area more visibile than exposure would suggest
- 20. (a) (b) (c) (d) (e) (f) (g) (h) Figure 5: Visual Wordsfor Beauty (top row) and Ugly (bottom row). and guardrails. The red dots on top-ranked pictures hose on bottom-ranked ones mean two different things ormer reflect positive(e.g., happy) visual words, while Picture Quality Bias. Photos might not necessarily what they aresupposed to show (representativeurban s in each neighborhood), and somepictures might beof
Editor's Notes
- the world is currently undergoing a massive influx of people into cities. which means that (next slide)
- in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.
- in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.
- in particular, transport analysts and planners need to be able to understand and predict passenger flow so far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra- city level. one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.