Building a gentrification early warning system with big data


But what if there were a way to see gentrification long before the coffee shops, condos and Whole Foods appear? What if city planners and neighborhoods had an early warning system that could sniff out the changes just as they begin? [...] neighborhood advocates would have the opportunity to implement policies ranging from reserving affordable housing units to educating residents of their renting rights to helping small businesses negotiate long-term lease extensions.



In his NPR piece, astrophysics professor Adam Frank explains how various big data sets, like housing prices, eviction records, census data, or social media usage, can be utilized for "predictive analytics" to detect early onsets of gentrification for specific neighborhoods at an increasingly high resolution — and what significant perils come with it.

Alexander Walter via Archinect - News http://ift.tt/2wjDBoB

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