June 18, 2018 - June 29, 2018 | University of Cape Town
9:00-9:15 Logistics (No livestream)
9:15-10:00 Welcome
10:00-10:45 My journey to Computational Social Science - Vissého Adjiwanou
10:45-11:00 Coffee Break
11:00-12:00 Sustainable Development Goals and CSS - Vissého Adjiwanou
12:00-1:00 Lunch
1:00-3:00 Participants introductive presentation - Guest Speaker and discussion: Gary King
3:00-3:15 Logistics (No livestream)
3:15-3:30 Introduction to computational social science (livestream from Duke)
3:30-3:45 Why SICSS? (livestream from Duke)
3:45-4:00 Introductions (livestream from Duke)
4:00-4:45 Ethics: Principles-based approach (livestream from Duke)
4:45-5:00 Coffee Break
5:00-6:00 Four areas of difficulty: informed consent, informational risk, privacy, and making decisions in the face of uncertainty (livestream from Duke)
9:00-9:15 Logistics (No livestream)
9:15-10:45 Group Exercise on Ethics
10:45-11:00 Coffee Break
11:00-12:00 Marshini Chetty on ethics
12:00-1:00 Lunch
1:00-3:00 Marshini Chetty on Human Computer Interaction (HCI)
3:00-3:15 What is digital trace data? (livestream from Duke)
3:15-3:30 Strengths and weakness of digital trace data (livestream from Duke)
3:30-4:00 Screen-Scraping (livestream from Duke)
4:00-4:15 Break
4:15-5:00 Application Programming Interfaces (livestream from Duke)
5:00-6:00 Apps for Social Science Research (livestream from Duke)
9:00-9:15 Logistics (No livestream)
9:15-10:45 Group Exercise on Digital Trace Data
10:45-11:00 Coffee Break
11:00-12:00 Group Exercise on Digital Trace Data
12:00-1:00 Lunch
1:00-3:00 Guest Speaker and discussion (Video from Duke): Jim Wilson
3:00-3:15 History of quantitative text analysis (livestream from Duke)
3:15-3:30 Strengths and weakenesses of quantitative text analysis (livestream from Duke)
3:30-3:45 Basic Text Analysis/GREP (livestream from Duke)
3:45-4:00 Dictionary-Based Text Analysis (livestream from Duke)
4:00-4:15 Break
4:15-4:00 Topic models and Beyond (livestream from Duke)
4:00-5:00 Ngram Networks (livestream from Duke)
9:00-9:15 Logistics (No livestream)
9:15-10:45 Group Exercise on Text Analysis
10:45-11:00 Coffee Break
11:00-12:00 Local presentation: Tom Moultrie
12:00-1:00 Lunch
1:00-3:00 Guest Speaker and discussion (Video from Duke): Ned Smith
3:00-3:30 Survey research in the digital age (livestream from Duke)
3:30-4:00 Probability and non-probability sampling (livestream from Duke)
4:00-4:15 Coffee break
4:45-6:00 Combining surveys and big data (livestream from Duke)
9:00-9:15 Logistics (No livestream)
9:15-10:45 Group Exercise on Surveys
10:45-11:00 Coffee Break
11:00-12:00 NIDS team, UCT
12:00-12:30 Lunch
12:30-2:00 Guest Speaker and discussion - Ridhi Kashyap (Skype) : Measuring gender inequalities using web data
3:00-3:10 Welcome and schedule (livestream from Duke)
3:10-3:30 Mass collaboration (livestream from Duke)
3:30-3:40 Human computation (livestream from Duke)
3:40-3:50 Open call (livestream from Duke)
3:50-4:00 Distributed data collection (livestream from Duke)
4:00-4:15 Design advice (livestream from Duke)
4:15-4:30 Coffee break
4:30-6:00 Fragile Families Challenge (livestream from Duke)
9:00-9:15 Logistics (No livestream)
9:15-10:45 Group Exercise on Mass Collaboration
10:45-11:00 Coffee Break
11:00-12:00 Vukosi Marivate
12:00-1:00 Lunch
1:00-3:00 Vukosi Marivate
3:00 - 3:15 Welcome and schedule (livestream from Duke)
3:15 - 3:45 What, why, and which experiments? (livestream from Duke)
3:45 - 4:15 Moving beyond simple experiments (livestream from Duke)
4:15 - 4:30 Coffee break
4:30 - 5:15 Four strategies for experiments (livestream from Duke)
5:15 - 5:45 Zero variable cost data and musiclab (livestream from Duke)
5:45 - 6:15 3 Rs (livestream from Duke)
9:00-9:15 Logistics (No livestream)
9:15-10:45 Training with Nick Feamster
10:45-11:00 Coffee Break
11:00-12:00 Exercise from training
12:00-1:00 Lunch
1:00-4:15 Group project
4:15 - 4:30 Coffee break
4:30 - 6:00 Group project
Closing dinner
You can host a partner location of the Summer Institutes of Computational Social Science (SICSS) at your university, company, NGO, or government agency.