July 28 - August 09, 2019 | University of Bamberg
Opening dinner
9:00 - 9:15 Logistics
9:15 - 9:30 Introductions
9:30 - 10:00 Introduction to computational social science Slides
10:00 - 10:30 Why SICSS? Slides
10:30 - 10:45 Coffee break
10:45 - 11:30 Ethics: principles-based approach Video, Slides
11:30 - 12:15 Four areas of difficulty: informed consent, informational risk, privacy, and making decisions in the face of uncertainty Video, Slides
12:15 - 12:30 Introduction to the group exercise Slides Case study 1 Case Study 2
12:30 - 1:30 Lunch
1:30 - 3:45 Group exercise
3:45 - 4:00 Break
4:00 - 5:30 Guest speaker: Andreas Jungherr Blog & Slides
9:00 - 9:15 Logistics
9:15 - 9:45 What is digital trace data? Slides
10:30 - 10:45 Coffee break
10:45 - 11:45 Application Programming Interfaces Slides Code
11:45 - 12:30 Building apps and bots for social science research Slides Code
12:30 - 1:30 Lunch
1:30 - 4:15 Group exercise Slides
4:15 - 4:30 Break
4:30 - 5:30 Guest speaker: Deen Freelon (video from SICSS 2018)
09:00 - 09:15 Logistics
09:15 - 09:30 Network analysis: then and now Materials
09:30 - 10:00 The fundamentals of network analysis
10:00 - 10:30 Plotting networks
10:30 - 10:45 Coffee break
10:45 - 11:45 Node and network level measures
11:45 - 12:30 Exploring network properties
12:30 - 1:30 Lunch
1:30 - 3:45 Group exercise
3:45 - 4:00 Break
4:00 - 5:30 Guest speaker: Fariba Karimi Slides
9:00 - 9:15 Logistics
9:15 - 10:10 Basics of quantitative text analysis Materials for entire day
10:10 - 10:30 Dictionary-based text analysis
10:30 - 10:45 Coffee break
10:45 - 11:30 Classifiers
11:30 - 12:30 Structural topic models
12:30 - 1:30 Lunch
1:30 - 3:45 Group exercise
9:00 - 9:15 Logistics
9:15 - 9:45 Survey research in the digital age Video, Slides
9:45 - 10:15 Probability and non-probability sampling Video, Slides
10:15 - 10:30 Coffee break
10:30 - 11:00 Computer-administered interviews and wiki surveys Video, Slides
12:00 - 12:30 Begin group exercise Exercise, Optional datasets: Survey data, post-stratification data (Not open to public/No livestream)
12:30 - 1:30 Lunch
1:30 - 3:15 Continue group exercise
3:15 - 3:45 Discuss activity and open-source data Slides
3:45 - 4:00 Break
4:00 - 5:30 Guest speaker: Ridhi Kashyap Slides
9:00 - 9:15 Logistics
9:45 - 10:15 Four strategies for making experiments happen Video, Slides
10:15 - 10:30 Coffee break
10:30 - 11:00 Zero variable cost data and musiclab Video, Slides
11:00 - 11:15 Break
11:15 - 12:15 Guest speaker: Abdullah Almaatouqn (video from SICSS 2019) Video, Slides
12:15 - 12:30 Logistics
Afternoon off
12:30 - 1:30 Lunch
1:30 - 3:00 Guest lecture: Milena Tsvetkova Slides
12:30 - 1:30 Lunch
12:30 - 1:30 Lunch
6:00 - 7:30 Closing dinner
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.