Big Data and Public Health in Shenzhen for MASS Design Group
As a pilot project for MASS Design’s research group and using data collected by Prof. Danil Nagy of Columbia University, I wrote a piece of interactive software that allows users to visualize the “destressing” of a spatialized graph of healthspaces based on user-weighted parameters that define an ideal network.
I used Danil’s massive Sina Weibo (“Chinese Twitter”) dataset to analyze spatial and linguistic data about the behavior of Weibo users in the Hong Kong/Shenzhen metro region, specifically those who published comments from or about healthspaces. Future work in this project will choose a US region of interest to MASS and perform a similar analysis of a split metro region with a similar administrative division in its health infrastructure.
Collection CreditsBoston FOIA Redesign