Teaching

---

• MIT 15.060 -- Data, Models, and Decisions, MIT (Fall 2023)

Tutorials

---

• Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity, NeurIPS22
  
• Do we incentivize honest effort or gaming in incentive-aware learning?, tutorial during STOC22 workshop on "Optimizing the effort of others" (invited)
  slides  video
• Algorithms for Incentive-Aware Learning, full day course at the University of Zurich, 2021 (invited)
  slides part 1  slides parts 2-3  slides part 4
• How to Achieve Both Transparency and Accuracy in Predictive Decision Making:
  An Introduction to Strategic Prediction, FAccT21
  Co-taught with Ben Edelman and Yo Shavit.
• Incentive-Compatible and Incentive-Aware Learning, EC20
  Co-taught with Nika Haghtalab.