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 The 2016 CityU Workshop on

Computational Approaches to Big Data in the Social Sciences and Humanities

(CityU CSS 2016)

Supported by the Knowledge Transfer Earmarked Fund

from the Hong Kong SAR University Grants Committee

Date:               9:00-17:00, June 6, 2016

Venue:            M5050, Run Run Shaw Creative Media Centre, City University of Hong Kong

Organizer:      Jonathan Zhu, Web Mining Lab, Department of Media and Communication

Websites:       http://weblab.com.cityu.edu.hk/blog/workshops/cityu-css-2016 and http://com.cityu.edu.hk/COMDOC/news/CityUCSS2016.pdf

The workshop aims to introduce major frontiers of computational social science in the age of social media and big data. In particular, the workshop will showcase how pioneering computational social scientists use new procedures, tools, and algorithms to collect, process, analyze, and visualize big data to revisit old questions and/or address new questions in sociology, political science, communication, finance, history, and other domains of the social sciences, humanities, and business studies.


Time Topic Speaker Moderator
09:00-09:10 Opening Session (Video)
09:10-10:10 Online experiment (Video) Jaime Settle (College of William & Mary, USA) Abstract;Slides Tetsuro Kobayashi (City University of Hong Kong)
10:10-11:10 Scraping web data (Video) Robert Ackland (Australian National University) Abstract;Slides Hai Liang (University of Hong Kong)
11:10-11:30 Tea Break
11:30-12:30 Mining social text data (Video) Xin Zhao (Renmin University of China) Abstract;Slides Chengjun Wang (Nanjing University, China)
12:30-14:00 Lunch Break
14:00-15:00 Computational history (Video) Steffen Roth (ESC Rennes School of Business, France) Abstract;Slides Jonathan Zhu (City University of Hong Kong)
15:00-16:00 Mining and modeling mobile media data (Video) Federico Botta (University of Warwick, UK) Abstract;Slides Winson Peng (Nanyang Technological University, Singapore)
16:00-16:20 Tea Break
16:20-17:20 Visual analysis of user behavior (Video) Nan Cao (New York University Shanghai) Abstract;Slides Jie Qin (Savannah College of Arts & Design Hong Kong)
17:20-17:30 Closing Session (Video)


The targeted audience includes faculty members, doctoral students, government/non-profit policy researchers, media analysts, data journalists and beyond. First-hand experience with quantitative social science research methods (such as survey, experiment, text/content analysis, etc.) is expected from all participants, whereas knowledge of computer programming is helpful but not required.

Attendance is free of charge. Given the limited seats, only qualified participants will be admitted based on prior registration by May 25, 2016. Complimentary refreshment will be provided during the workshop. Participants are responsible for their own travel, meals, and other costs.

The registration was closed on May 27. Contact dudu.cheng@cityu.edu.hk for inquiries.