Urban Displacement Project Symposium: Predicting neighborhood change using big data and machine learning: Implications for theory, methods, and practice
Conference/Symposium | January 9 – 10, 2020 every day | 9 a.m.-5 p.m. | Doe Library, 190 Doe Library
This symposium will convene an international group of urban researchers with deep interests in data science and neighborhood change. Despite decades of research on neighborhood change, there has been little corresponding methodological development: studies still tend to either rely primarily on demographic data aggregated at the neighborhood level (which masks complex and micro-scale causal dynamics), or on in-depth case studies (which present ...
Alumni, Faculty, Friends of the University, Staff, Students - Graduate, Students - Prospective, Students - Undergraduate
Alumni, Faculty, Friends of the University, General Public, Staff, Students - Graduate, Students - Prospective, Students - Undergraduate, Cal Parents