muhsinciftci/sicss-aachen-graz

Repository for the learning materials of the Aachen-Graz SICSS location.

SICSS Aachen / Graz

Welcome to the online materials for our Summer Institute for Computational Social Science (SICSS) hosted in Aachen & Graz in July 2022.

Course contents

Day 1

• Lecture by Ivan Smirnov: “What is computational social science (CSS) really?” [slides] [lecture recording] [exercise] [exercise introduction recording] [exercise solutions]

Day 2

• Lecture by Jana Lasser: “Harnessing web scraping and APIs to collect data” [slides] [API lecture recording] [web-scraping lecture recording] [exercise] [exercise solutions] [API access code snippets] [web scraping code snippets]

• Guest lecture by Anna Di Natale: “How to use Amazon Mechanical Turk [slides] [handout] [lecture recording]

Day 3

• Guest lecture by David Garcia: “Combining surveys and big data” [slides] [lecture recording] [exercise] [exercise recording]
• Guest lecture by Markus Strohmaier “Introduction to networks in CSS” [slides] [lecture recording] [exercise] [exercise introduction recording] [exercise solution]

Day 4

• Lecture by Ivan Smirnov: “How to write a (good!) CSS paper” [slides] [lecture recording part 1] [lecture recording part 2]
• Lecture by Jana Lasser: “Visualize your data: DOs and DON’Ts” [slides] [lecture recording] [exercise introduction] [exercise] [exercise solution] [plotting code snippets]

Day 5

• Lecture by Ivan Smirnov: “Potential pitfalls and problems for awesome CSS projects” [lecture recording]
• Lecture by Jana Lasser and David Garcia: “Ethical dimensions of CSS research” [lecture recording] [slides ethics] [readings ethics] [slides representation] [slides measurement issues]
• Guest lecture by Suhem Parack: “Introduction to using the Twitter API to collect insane amounts of data” [lecture recording] [exercise]

Day 6

Day 7

Day 8

• Lecture by Alina Arseniev-Koehler "Integrating Topic Modeling and Word Embedding to Characterize Violent Deaths" [materials], [reading 1], [reading 2].