Philadelphia communities help AI machine learning get better at spotting gentrification

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods. The term "gentrification" has been lingua franca for generations of urbanites who have seen their communities change and property values, and commensurate taxes, shift in ways that can make it difficult for longtime residents to stay. But identifying its unmanaged creep can be a challenge, particularly in densely populated areas, as its visual hallmarks—such as new facades, mixes in building materials and changes in building heights—present differently in different cities and regions.