Teaching & Tutorials

Teaching

• MIT 15.060 — Data, Models, and Decisions MIT MBA · Fall 2023, 2024, 2025
• MIT 15.090 — Common Experience in Operations Research MIT PhD, ORC · Summer 2024, 2025

Tutorials

• Decision-Theoretic Forecasting EC 2025
• Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity NeurIPS 2022
• Do we incentivize honest effort or gaming in incentive-aware learning? STOC 2022 invited
  Tutorial during the STOC 2022 workshop “Optimizing the effort of others.”
  slides video
• Algorithms for Incentive-Aware Learning U. Zurich 2021 invited
  Full-day course at the University of Zurich.
  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 FAccT 2021
  Co-taught with Ben Edelman and Yo Shavit.
• Incentive-Compatible and Incentive-Aware Learning EC 2020
  Co-taught with Nika Haghtalab.