Geospatial Data Science for Urban Applications

Undergraduate / Graduate

During the middle decades of the 20th century, government-backed demolition occurred under a variety of housing and transportation programs, often referred to under the heading "urban renewal." Significant scholarship in sociology, economics and urban studies has explored the theoretical implications of this tumultuous period. This course will compliment this theoretical background by offering a hands-on learning experience in which students will digitally recreate what was lost during the urban renewal period. The course will offer students practical experience in utilizing geospatial techniques to tackle real-world urban challenges. Through a hands-on approach, participants will learn to use machine learning tools to digitally reconstruct historic places.