Center for Artificial Intelligence in Business Analytics and Financial Technology
Here we are gathering large amounts of alternative data on conditions within the city (311 calls, building permits, restaurant ratings, Yelp! Business data, FDIC deposit data, and transportation data, among others) to determine what factors influence this disparity in appreciation rates and whether or not these changes can be predicted.
Mapping building permits by location and time allows us to visualize relative increases in clusters of building permits that are followed by increases in the valuation of properties in those areas within the next few years after the increased clustering is first noticed.