July 19 to July 31, 2020 | University of Konstanz | Konstanz, Germany
Opening dinner
9:00 - 9:15 Logistics
9:15 - 9:30 Introduction of participants
9:30 - 10:00 Introduction to SICSS
10:00 - 10:30 Inference in (Computational) Social Science: Measurement, Explanation, Generalization
10:30 - 10:45 Coffee break
10:45 - 11:30 Causal Graphs: From paths to d-separation
11:30 - 12:30 Causal Graphs: Identification and biases
12:30 - 1:30 Lunch
1:30 - 3:45 Group exercise: Causal Mediation in graphs and in data
3:45 - 4:00 Break
4:00 - 5:30 Guest speaker: t.b.a
9:00 - 9:15 Logistics
9:15 - 09:45 What is digital trace data?
09:45 - 10:30 Web scraping
10:30 - 10:45 Coffee break
10:45 - 12:00 Application Programming Interfaces
12:00 - 12:30 Building apps and bots for social science research
12:30 - 1:30 Lunch
1:30 - 3:45 Group exercise
3:45 - 4:00 Break
4:00 - 5:30 Guest speaker: t.b.a.
9:00 - 9:15 Logistics
9:15 - 10:10 Basics of quantitative text analysis
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
3:45 - 4:00 Break
4:00 - 5:30 Guest speaker: t.b.a
9:00 - 9:15 Logistics
9:15 - 10:00 Basics of measurement and the classical test theory
10:00 - 10:30 Item response theory
10:30 - 10:45 Coffee break
10:45 - 11:30 Asking questions
11:30 - 12:30 Estimating latent traits
12:30 - 1:30 Lunch
1:30 - 3:45 Group exercise
3:45 - 4:00 Break
4:00 - 5:30 Guest speaker: t.b.a
9:00 - 9:15 Logistics
9:15 - 10:15 Conceptual foundations: total error approach and selection graphs
10:15 - 10:30 Coffee break
10:30 - 11:45 Adjustment strategies 1: regression, propensity socres, poststratification
11:45 - 12:30 Adjustment strategies 2: machine learning and other current approaches
12:30 - 1:30 Lunch
1:30 - 3:45 Group exercise
3:45 - 4:00 Break
4:00 - 5:30 Guest speaker: Annelies Blom
9:00 - 9:15 Logistics
9:15 - 10:15 State-of-the-art of online experiments on digital media
10:15 - 10:30 Coffee break
10:30 - 12:00 Designing and running online experiments
Afternoon off
9:00 - 9:15 Logistics
9:15 - 10:30 Speed-dating and group formation
12:30 - 1:30 Lunch
1:30 - 3:00 Guest lecture: t.b.a
12:30 - 1:30 Lunch
1:30 - 3:00 Guest lecture: t.b.a
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.