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Computational Methods for Analyzing Big Data in the Social Sciences (ONLINE)
October 16, 2020 @ 10:00 am - 4:00 pm
This course will be offered via ZOOM only.
In this workshop, participants will get an overview of various aspects of computational research methods. Specifically, this session will provide a brief overview of the most frequently-used computational methods in communication and media research, as well as an explanation of the expertise required to apply these methods effectively. Most of the session will be devoted to a hands-on introduction to a few basic computational methods using the programming language R. This will be oriented toward beginners having no prior experience with computational methods.
Instructor: Deen Freelon
Deen Freelon is an associate professor in the Hussman School of Journalism and Media at the University of North Carolina at Chapel Hill who studies political uses of social media and other digital technologies. He is also a principal researcher for UNC’s interdisciplinary Center for Information, Technology, and Public Life (CITAP). He has authored or co-authored more than 50 journal articles, book chapters and public reports, in addition to co-editing one scholarly book. An expert in multiple programming languages including R, Python, and PHP, Freelon has written research-grade software applications for a range of computational research purposes. He formerly taught at American University in Washington, D.C.
Register Here
This class will be offered via Zoom ONLY. Registration closes at 12:01am on 10/13/2020. Once registration closes, no late registrations will be accepted. NO EXCEPTIONS!
Registration fees
- UNC CH Students: $0, with a $20 deposit to hold your spot (deposit is refundable upon attendance)
- UNC CH Faculty/Staff/Postdoc: $40
- Non UNC CH: $80
Cancellation/Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
