June 14 to June 19, 2021 | Higher School of Economics | Virtual event
18:00 Meet-and-greet (based on this model)
12:00 - 12:30 Introduction and logistics
12:30 - 13:30 Small group discussions Lesson plan (participants)
13:30 - 14:00 Break
14:00 - 15:00 Small group lunches (optional)
15:00 - 15:30 Break
15:30 - 15:45 Introduction to the group exercise
15:45 - 16:45 Small group discussion of case study, based on the pre-recorded lectures Day 1 or ‘Ethics’ chapter in the Bit-by-Bit book by Matthew Salganik. Lesson plan (participants), Lesson plan (instructors)
16:45 - 17:15 Whole group debrief about the case study
17:15 - 17:30 Break
17:30 - 18:30 Ivan Smirnov. Common pitfalls in quantitative research. Slides Video
19:00 - 19:15 Debrief and logistics
12:00 - 12:15 Logistics and introduction
12:15 - 12:45 Elizaveta Sivak. Benefits & Weaknesses of Digital Trace Data plus Hybrid Designs. Slides
12:45 - 13:30 Elizaveta Sivak. Reddit as a source of data Slides, Code
13:30 - 14:00 Break
14:00 - 15:45 Group Exercise: Collecting Digital Trace Data (Reddit). Lesson plan (participants)
15:45 - 16:30 Break
16:30 - 17:15 Whole group debrief about the group exercise. Discussing Benefits & Weaknesses of Digital Trace Data based the pre-recorded lectures Day 2
17:15 - 17:45 Break
17:45 - 19:15 Guest speaker: Rene Kizilcec. Randomized Field Experiments in Online Learning Video
12:00 - 12:15 Logistics and introduction to group exercise
12:15 - 14:00 Group Exercise based on the pre-recorded lectures (Day 3). Lesson plan (participants)
14:00 - 14:45 Break
14:45 - 15:15 Whole group debrief about the group exercise
15:15 - 15:45 Break
15:45 - 17:00 Sofia Dokuka. Social network analysis: research design. Slides Video
17:00 - 17:45 Break
17:45 - 19:15 Guest lecture: Sune Lehmann. Modeling temporal communication networks and dynamical processes (abstract) Video
12:00 - 12:05 Logistics
12:05 - 12:20 Introduction to the group exercise
12:20 - 13:20 Non-probability-based Surveys in Practice: group exercise based on the pre-recorded lectures Day 4. Lesson plan (participants)
13:20 - 14:00 Break
14:00 - 14:20 Flash-talk by Alex Knorre ‘Where people shoot? Spatial analysis of gun violence in Philadelphia’
14:20 - 14:40 Flash talk by Nora Kirkizh ‘Can Website Choices Predict Political Issue Preferences?’
14:40 - 15:00 Flash talk by Nan Zhang ‘Linking Twitter Handles to Survey Data: Outline of a study design and potential empirical application’
15:00 - 15:30 Break
15:30 - 17:00 Continue participating in the group exercise
17:00 - 17:15 Whole group debrief about the group exercise
17:15 - 17:45 Break
17:45 - 18:45 Ivan Smirnov. How to publish a computational social science paper? Slides Video
12:00 - 12:15 Logistics
12:15 - 12:30 Introduction to the group exercise Video Slides
12:30 - 13:30 Participate in the Fragile Families Challenge Lesson plan (participants), Lesson plan (instructors)
13:30 - 14:00 Break
14:00 - 15:00 Continue participating in the Fragile Families Challenge
15:00 - 15:30 Break
15:30 - 17:00 Continue participating in the Fragile Families Challenge
17:00 - 17:30 Break
17:30 - 18:00 Whole group debrief about group exercise
12:30 - 12:55 Flash talk by Irina Busurkina ‘Uncovering exemplars from user-generated content with NLP techniques: the case of digital games’
12:55 - 13:20 Flash talk by Timur Osmanov ‘Combining Survey Data and Digital Traces to measure attitudes towards health care system’
13:20 - 13:45 Flash talk by Angelika Tsivinskaya ‘Russian Studies’: Methodology
13:45 - 14:00 Break
14:00 - 14:25 Flash talk by Jesse Bryant ‘White Nationalism and Word Embeddings: A Method for Dogwhistles?’
14:25 - 14:50 Flash talk by Yuri Rykov ‘Digital phenotyping in cardiometabolic and mental health research’
14:50 - 16:30 Break
16:30 - 18:00 Guest speaker: Munmun de Choudhury. Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier (abstract) Video
18:00 - 18:15 Break
18:15 - 18:30 Debrief and Conclusion
You can host a partner location of the Summer Institutes of Computational Social Science (SICSS) at your university, company, NGO, or government agency.