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        Alert Banner

        On May 28, Chancellor Gary S. May wrote:

        “The events of this week also cause me to believe even more strongly, if that’s possible, in building an inclusive environment that recognizes and respects people of all backgrounds and experiences. I remain committed to that and hope you will do what you can to eliminate racism, sexism, and other negative influences on our progression as a nation.”

        We join Chancellor May in these efforts toward building diverse, inclusive, and equitable environment in the Department of Communication and at the University of California Davis. To learn more, including a list of resources are available for students in crisis, need of support, or who have experienced racism or bias, click?here.

        Important Covid-19 Information:

        In light of the Covid-19 situation, ?all UC Davis Spring 2020 course will move to virtual instruction. ?As a result, the department’s administrative functions have moved to remote work conditions until further notice. ?At this time, the preferred method of contact for departmental staff members is e-mail; please visit our?administrative staff contact page?for further information.

        Computational Communication Research Lab: C^2

        Our Computational Communication Research Lab (run by Profs. Hilbert, Shen, Frey & Barnett) uses the digital (big data) footprint, computer simulations, machine-learning and other techniques to detect new patterns in human and social communication.
        Computational Communication Research Lab: C^2

        C^2 lab

        Computational Communication Research Lab: C^2

        C^2

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        Visit our Website at: http://c2.ucdavis.edu

        The digital revolution has not only revolutionized human communication, but also the way we can study it. As the massive digital footprint becomes increasingly available with tremendous granularity and precision, we are able to address core questions in communication studies in new ways. The C2 Lab (Computational Communication Research / C-square Lab ) is focused on using digital trace data and computational social science methods to examine fundamental questions in communication. Some ongoing projects include: online social networks in massively multiplayer online games, peer production on Wikipedia, gender dynamics in virtual worlds, tweets and citizen protests, network dynamics of world Wide Web, physician rating websites and mobile app usage patterns. We use traditional analytical methods (like regressions and ANOVAs), as well as other techniques like "white box machine learning" and computational mechanics, which are possible thanks to the massive databases that are nowadays available on human communication.

        More: http://c2.ucdavis.edu