I build and study intelligent ubiquitous and social computer systems for urban environments. My goal is to be able to teach computers to understand the complexity of a vast city just as deeply and completely as all the life-long locals that call the city home.

My work combines methods from machine learning and human-computer interaction, and has applications in areas such as intelligent local search, social computing, urban and transportation planning, real estate, and computational social science.

I'm a Ph.D. student in the School of Computer Science at Carnegie Mellon University working in the Computation, Organizations and Society degree program. My advisor Norman Sadeh heads the Mobile Commerce Lab.

Over the 2013-2014 academic year, my research is generously supported by a Facebook Graduate Fellowship in Human-Computer Interaction.

Conference Papers
"I read my Twitter the next morning and was astonished" A Conversational Perspective on Twitter Regrets.
Manya Sleeper, Justin Cranshaw, Patrick Gage Kelley, Blase Ur, Alessandro Acquisti, Lorrie Faith Cranor, Norman Sadeh.
CHI, 2013: Proceedings of the Conference on Human Factors in Computing Systems.
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The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City.
Justin Cranshaw, Raz Schwartz, Jason I. Hong, Norman Sadeh.
ICWSM, 2012: Proceedings of the Sixth International AAAI Conference on Weblogs an Social Media.
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✷ Best Paper Award
User-Controllable Learning of Location Privacy Policies with Gaussian Mixture Models.
Justin Cranshaw, Jonathan Mugan, and Norman Sadeh.
AAAI, 2011: Proceedings of the Twenty-Fifth Conference on Artificial Intelligence.
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The Polymath Project: Lessons From a Successful Online Collaboration in Mathematics.
Justin Cranshaw, Aniket Kittur.
CHI, 2011: Proceedings of the Conference on Human Factors in Computing Systems.
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I'm the Mayor of My House: Examining Why People Use foursquare - a Social-Driven Location Sharing Application.
Janne Lindqvist, Justin Cranshaw, Jason Wiese, Jason I. Hong, John Zimmerman.
CHI, 2011: Proceedings of the Conference on Human Factors in Computing Systems.
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Bridging the Gap between Physical Location and Online Social Networks.
Justin Cranshaw, Eran Toch, Jason I. Hong, Aniket Kittur, and Norman Sadeh.
UbiComp, 2010: Proceedings of the 12th ACM International Conference on Ubiquitous Computing.
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Empirical models of privacy in location sharing.
Eran Toch, Justin Cranshaw, Paul Hankes Drielsma, Janice Y. Tsai, Patrick G. Kelley, James Springfield, Laurie F. Cranor, Jason I. Hong, and Norman Sadeh.
UbiComp, 2010: Proceedings of the 12th ACM International Conference on Ubiquitous Computing.
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School of Phish: A Real-World Evaluation of Anti-Phishing Training.
Ponnurangam Kumaraguru, Justin Cranshaw, Alessandro Acquisti, Lorrie Cranor, Jason Hong, Mary Ann Blair, Theodore Pham.
SOUPS, 2009: Proceedings of the 5th Symposium On Usable Privacy and Security.
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Workshop Papers
Conducting research on Twitter: A call for guidelines and metrics.
Manya Sleeper, Justin Cranshaw, Patrick Gage Kelley.
CSCW Workshops, 2013: Proceedings of the Measuring Networked Privacy Workshop.
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What do online behavioral advertising privacy disclosures communicate to users?.
Pedro Giovanni Leon, Justin Cranshaw, Lorrie Faith Cranor, Jim Graves, Manoj Hastak, Blase Ur, Guzi Xu.
WPES, 2012: Proceedings of the 2012 ACM workshop on Privacy in the electronic society.
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Seeing a home away from the home: Distilling proto-neighborhoods from incidental data with Latent Topic Modeling.
Justin Cranshaw, Tae Yano.
NIPS Workshops, 2010: Proceedings of the NIPS Workshop on Computational Social Science and the Wisdom of Crowds.
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Demos
Locaccino: a privacy-centric location sharing application.
Eran Toch, Justin Cranshaw, Paul Hankes Drielsma, Patrick G. Kelley, James Springfield, Laurie F. Cranor, Jason I. Hong, and Norman Sadeh.
UbiComp Demos, 2010: Adjunct Proceedings of the 12th ACM International Conference on Ubiquitous Computing.

Neighborhoods in a city evolve fast—much faster than the official municipal boundaries that delineate them. Sometimes, these official boundaries can become misaligned with the true social fabric of the city. With Livehoods, our aim is to discover the local dynamics of a city by looking at data from millions of foursquare checkins from around the world.

Sidewalk Scout
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Coming soon. Collaborative, social, city guides.