workshops

Workshop slides, code, and files

Workshops

• Stewart_text
  • "Text as data"
  • Brandon Stewart, Princeton University
  • 1 December, 2017
• Larremore_networks
  • "Communities, hierarchies, and cores: finding large-scale structure in complex networks"
  • Daniel Larremore, University of Colorado Boulder
  • 10 November, 2017
• Quinn_Bayes
  • "Bayesian statistics for social scientists"
  • Kevin Quinn, University of Michigan
  • 3 November, 2017
• Healy_visualization
  • "Data Vizualization for Social Science"
  • Kieran Healy, Duke University
  • Materials from: http://socviz.co/
  • 9 March, 2018
• Hofman_machine_learning
  • "Machine Learning Tutorial"
  • Jake Hofman, Microsoft Research
  • Available at: https://github.com/jhofman/michigan-workshop
  • 16 March, 2018
• Sharma_causal_inference
  • "Causal inference in online systems: Methods, pitfals and best practices"
  • Amit Sharma, Microsoft Research
  • Available at: https://github.com/amit-sharma/causal-inference-tutorial
  • 6 April, 2018