Simulating Cities: Data Science for Affordable Housing
6:00 p.m. | Wednesday, August 23, 2017
Sophisticated computer simulations allow us to test hypotheses and see what patterns emerge and UrbanSim applies this practice to cities, offering visualization and analysis of highly varied data sets. Recently, new data collection methods have been developed that use web scraping to initiate a monitoring process for housing rental listings, shared room listings, short-term stay listings and housing sales transactions. Come learn about the process, what they've found so far and how the development of housing market monitoring and analysis capabilities can inform the evaluation of policies to address housing affordability challenges in the Bay Area and across the country.
+ Paul Waddell / Founder and President of UrbanSim, and Professor of City and Regional Planning at UC Berkeley
+ Arezoo Besharati Zadeh / UC Berkeley, Urban Analytics Lab