’16 CityU CSS Workshop
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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.
Program:
| 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) | ||
Attendance:
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.
News and Events
- Sep 26, Lab Members Played Active Roles at CCR2017 in Nanjing
- Aug 22, Yafei and Lu Win Research Tuition Scholarship and Outstanding Academic Performance Award
- Aug 19, Jonathan Keynoted at the largest Communication Conference in mainland China
- Aug 13, BDSC2017 Concluded in Lanzhou
- Jul 19, Web Mining Lab Coorganizes BDSC2017 in Lanzhou
- Jul 18, Jonathan Talked about Time Mining at CityU DSAIG Seminar
- Jun 13, Zhang Lun and Winson’s Article to appear in IPM
- May 14, The Lab has cohosted the 3rd Data Journalism Competition in China
- Apr 13, Call for Papers：A Special Issue of Asian Journal of Communication
- Apr 02, Computational Communication Workshop will be held on Sept. 23-25th
- Mar 02, Lab members will give seven presentations on ICA 2017
- Feb 28, Votes for Theme on Computational Communication Workshop
- Feb 21, Young Scholars from Mainland China Visited Web Mining Lab
- Feb 16, Recruitment for an open rank faculty on computational social science
- Jan 17, Zhang Lun visited Web Mining Lab
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