SXSW 2019
Gauging Urban Change with Google Street View
Description:
Big data and AI have the potential to transform policymaking in cities. What once took years to see how a given policy was affecting a city, it’s becoming increasingly possible to learn in real time on a neighborhood-by-neighborhood, or even block-by-block, basis. Harvard economist Ed Glaeser and his co-authors recently demonstrated how Google Street View, combined with computer vision, can reliably predict things like income and crime down to the city block. But in order to take advantage of this transformative technology, government will have to transform itself to be more adaptive and nimble.
Related Media
Additional Supporting Materials
Other Resources / Information
Takeaways
- Big data and AI are transforming what we know about cities--and how quickly we can learn about urban trends.
- Computer vision trained on Google Street View data predicted income and crime on a block-by-block basis in five major American cities.
- One day, policymakers may be able to target economic and social policies to specific blocks--and track their performance in real time.
Speakers
- Edward Glaeser, Fred and Eleanor Glimp Professor of Economics, Harvard University
- Michael Hendrix, Director, State and Local Policy, Manhattan Institute
Organizer
Michael Hendrix, Director, State & Local Policy, Manhattan Institute
SXSW reserves the right to restrict access to or availability of comments related to PanelPicker proposals that it considers objectionable.
Add Comments