June 16 to June 29, 2019 | Universidad Autónoma de Nuevo León
Opening Dinner (Not open to public/No livestream)
8:00 - 8:15 Logistics (Not open to public/No livestream)
8:15 - 8:30 Introductions (Not open to public/No livestream)
8:30 - 9:00 Introduction to computational social science
9:00 - 9:30 Why SICSS?
9:30 - 9:45 Coffee Break
9:45 - 10:30 Ethics: Principles-based approach
10:30 - 11:15 Four areas of difficulty: informed consent, informational risk, privacy, and making decisions in the face of uncertainty
11:15 - 11:30 Introduction to the group exercise
11:30 - 12:30 Lunch (Not open to public/No livestream)
12:30 - 2:45 Group exercise (Not open to public/No livestream)
2:45 - 3:00 Break
3:00 - 4:30 Guest speaker: Alondra Nelson
8:00 - 8:15 Logistics (Not open to public/No livestream)
8:15 - 8:30 What is digital trace data?
8:30 - 8:45 Strengths and weakness of digital trace data
8:45 - 9:15 Screen-Scraping
9:15 - 9:30 Coffee Break
9:30 - 10:00 Application Programming Interfaces
10:00 - 11:30 Building Apps and Bots for Social Science Research
11:30 - 12:30 Lunch (Not open to public/No livestream)
12:30 - 2:45 Group Exercise (Not open to public/No livestream)
2:45 - 3:00 Break
3:00 - 4:30 Guest speaker: Beth Noveck
8:00 - 8:15 Logistics (Not open to public/No livestream)
8:15 - 8:30 History of quantitative text analysis
8:30 - 8:45 Basic Text Analysis/GREP
8:45 - 9:00 Dictionary-Based Text Analysis
9:00 - 9:15 Coffee Break
9:15 - 10:15 Topic models/Structural Topic Models
10:15 - 10:20 Break
10:20 - 11:30 Text Networks
11:30 - 1:00 Lunch and Guest Speaker: Jennifer Pan
1:00 - 1:15 Break
1:15 - 4:30 Group Exercise (Not open to public/No livestream)
8:00 - 8:15 Logistics (Not open to public/No livestream)
8:15 - 8:45 Survey research in the digital age
8:45 - 9:15 Probability and non-probability sampling
9:15 - 9:30 Coffee break
9:30 - 10:00 Computer-administered interviews and wiki surveys
10:00 - 10:30 Combining surveys and big data
10:30 - 11:00 Group exercise introduction
11:00 - 11:30 Begin group exercise
11:30 - 12:30 Lunch
12:30 - 2:15 Continue group exercise (Not open to public/No livestream)
2:15 - 2:45 Discuss activity and open-source data
2:45 - 3:00 Break
3:00 - 4:30 Guest speaker: Justin Grimmer
8:00 - 8:15 Logistics (Not open to public/No livestream)
8:15 - 8:30 Mass collaboration
8:30 - 8:45 Human computation
8:45 - 9:00 Open call
9:00 - 9:15 Distributed data collection
9:15 - 9:30 Coffee break
9:30 - 10:30 Introduction to the Fragile Families Challenge
10:30 - 11:30 Working on the Fragile Families Challenge (Not open to public/No livestream)
11:30 - 12:30 Lunch
12:30 - 2:30 Fragile Families Challenge (Not open to public/No livestream)
2:30 - 2:45 Discussion of the Fragile Families Challenge (Not open to public/No livestream)
2:45 - 3:00 Break
3:00 - 4:30 Guest speaker: Annie Liang
8:00 - 8:15 Logistics (Not open to public/No livestream)
8:15 - 8:30 What, why, and which experiments?
8:30 - 8:45 Moving beyond simple experiments
8:45 - 9:15 Four strategies for experiments
9:15 - 9:30 Coffee break
9:30 - 10:00 Zero variable cost data and musiclab
10:00 - 10:15 Break
10:15 - 11:15 High-throughput behavioral science using virtual labs by guest speaker Abdullah Almaatouq (SICSS 2017)
11:15 - 11:30 Logistics (Not open to public/No livestream)
11:30 - 12:30 Lunch (Not open to public/No livestream)
Afternoon off
9:00 - 9:15 Logistics (Not open to public/No livestream)
12:30 - 1:30 Lunch and flash talks ()Not open to public/No livestream)
12:30 - 1:30 Lunch and flash talks ()Not open to public/No livestream)
12:30 - 1:30 Lunch and Guest Speaker: Chris Wiggins
12:30 - 1:30 Lunch and flash talks (Not open to public/No livestream)
1:30 - 5:15 Present group projects (Not open to public/No livestream)
5:30 Closing dinner (Not open to public/No livestream)
Participants depart
You can host a partner location of the Summer Institutes of Computational Social Science (SICSS) at your university, company, NGO, or government agency.