Justin Cranshaw
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I'm a computer scientist, a ubiquitous computing researcher, and an urbanist; I study people, cities, algorithms, and code. Combining methods from machine learning, human-computer interaction, and urban studies, my research looks at how emerging large-scale sources of rich and expressive social media data such as tweets and check-ins, can be used as a lens to help us better understand the structure, social dynamics, and character of cities.

My work is part of the burgeoning field of urban computing, which aims to enhance the efficiency of cities, and the overall well-being of people who live in them.

I'm a Computer Science PhD student at Carnegie Mellon University in the Computation, Organizations and Society degree program, which seeks a computational perspective to understanding society, and social technologies. My advisor Norman Sadeh heads the Mobile Commerce Lab at CMU. I also collaborate with Jason Hong, Lorrie Cranor, and Niki Kittur.


flag The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City
as author at  Oral Sessions,