Schedule

Suggested Readings:

• Lessons from measurement [only need to read measurement section]
• When You Hear the Margin of Error Is Plus or Minus 3 Percent, Think 7 Instead

Suggested Readings:

• Pew - comparing weighting techniques
• High-frequency polling with non-representative data
• We Gave Four Good Pollsters the Same Raw Data. They Had Four Different Results.
• How One 19-Year-Old Illinois Man Is Distorting National Polling Averages

Optional Readings:

• Designing Informative Rating Systems: Evidence from an Online Labor Market
• Reputation Inflation

Suggested Readings:

• Mining Massive Datasets, Ch 9, Recommendations
• Stitchfix Algorithms tour

Suggested Preparation:

• What makes a good pollster?

Suggested Readings:

• The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify
• Algorithmic Effects on the Diversity of Consumption on Spotify

Suggested Readings:

• The Algorithm behind Plane Ticket Prices and How to Get the Best Deal
• Book chapter on Dynamic Programming

Notes:

• Dynamic Programming for Pricing

Suggested Readings:

• Fairness as a Constraint on Profit Seeking: Entitlements in the Market

Suggested Readings:

• Controlled experiments on the web: survey and practical guide
• A/B testing: A step-by-step guide in Python
• The Power of Experiments: Decision Making in a Data-Driven World

Suggested Readings:

• Lyft – experimentation in marketplaces (Part 1), (Part 2), (Part 3)
• Toward Causal Inference With Interference

Suggested Readings:

• Switchback Tests and Randomized Experimentation Under Network Effects at DoorDash
• A/B testing at marketplaces

Suggested Readings:

• Synthetic control book chapter
• Universal Holdout Groups at Disney Streaming
• Large scale experimentation – Stitch Fix Technology

Suggested Readings:

• Algorithmic Foundations of Differential Privacy
• How to perform these attacks Part 2
• Simple Demographics Often Identify People Uniquely
• Differential privacy: A survey of results

Suggested Readings:

• Limits to Prediction class, Princeton, (Pre-class summary reading)
• Measuring the predictability of life outcomes with a scientific mass collaboration
• Manipulation of Social Program Eligibility