Session 10 Summary: Computational Social Science

• Objective: Overview rather than deep dive
• Studies: Various
• Big data & new data sources
  • Big data revolution, New data sources, SQL, Google BigQuery
• Data collection
  • APIs (Json etc.)
  • Web (screen) scraping
• Machine learning
  • Introduction (+ a bit of deep learning)
• Not covered (but important)
  • Strategies to work with big data
  • Debugging in R (e.g., tryCatch())
  • Other ML methods
• Q: What did you miss or find most interesting (any of the studies?)?
• Future: Probably focus seminar on data collection or ML
  • ML with stronger focus on text analysis