We’ve seen maps that use data to address Baltimore’s notorious issue with vacant homes. But at Johns Hopkins, experts are using a strategy originally used for spotting far-off galaxies.
In an article Monday, CityLab highlighted the city’s partnership with Hopkins astrophysicist Tamas Budavari. He’s using big data in a way that is often used by astronomers.
Working with doctoral student Phil Garboden, Budavari is developing a database of the city’s housing stock, and a tool to predict the likelihood of a house becoming abandoned.
“Just like how galaxies cluster in the universe, houses also cluster in the city,” Budavari told CityLab. “So if you have a vacant house in a given place, there’s a higher probability of finding other ones next to it.”
They are looking to expand their work to other cities, as well.
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The partnership was through Hopkins’ 21st Century Cities program, which is accepting new grant applications through March 24.
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