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
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.
|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)|
|11:30-12:30||Mining social text data (Video)||Xin Zhao (Renmin University of China) Abstract;Slides||Chengjun Wang (Nanjing University, China)|
|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)|
|16:20-17:20||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 email@example.com for inquiries.