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"We're All Social Scientists Now"

An Introduction to Quantitative Social Science

In this session, we learn some of the fundamental differences between machine learning and quantitative social sciences. We also identify some useful datasets and lessons learned for DSSG projects.

Potential Teachouts

• Experiments
• Quasi-experiments
• Observational studies

Slides

You can access the slides for this session here.

Additional Reading

• "We're All Social Scientists Now"
• "Causal Inference in Statistics: An Overview"
• "Causal Inference in Social Science: An Elementary Introduction"
• "Fuck Nuance"
• Counterfactuals and Causal Inference
• Mostly Harmless Econometrics
• Prediction Policy Problems