Training

Graduate coursework and methods training. Courses dated after the current term are in progress or planned.

Public Policy

• Advanced Research Methods I (Fall 2022)
• Advanced Research Methods II (Spring 2023)
• Logic of Policy Inquiry (Fall 2023)
• Science, Technology, and Innovation Policy (Fall 2023)
• Microeconomic Theory and Applications (Spring 2024)

Statistics

• Time Series Analysis (Fall 2023)
• Advanced Statistical Modeling (Spring 2024)
• Biostatistics (Spring 2024)
• Regression Analysis (Summer 2024)
• Numerical Methods for Partial Differential Equations (Fall 2025)
• Nonparametric Data Analysis (Spring 2026)
• Design of Experiments (Fall 2026)
• Stochastic Processes (Fall 2026)
• Mathematical Statistics I (Fall 2026)
• Mathematical Statistics II (Spring 2027)
• Stochastic Processes II (Spring 2027)

Computer Science

• Brain-Inspired Machine Intelligence (Fall 2024)
• Data Science for Epidemiology (Fall 2024)
• Introduction to Uncertainty Quantification (Spring 2025)
• Computational Methods for Complex Systems (Spring 2025)
• Machine Learning for Humanities (Spring 2025)
• Natural Language Processing (Summer 2025)
• Machine Learning for Economics (Spring 2026)
• Introduction to Machine Learning (Summer 2026)
• Computational Science and Engineering Algorithms (Fall 2026)

Workshops

• Northwestern Causal Inference Workshop (Summer 2025)
• The Data Economy — Ph.D.-level course taught by Isaac Baley (Pompeu Fabra) and Laura Veldkamp (Columbia), August 2026
• Academy of Management Professional Development Workshop, “How Will AI Impact the Management of Science and Innovation?” (Summer 2026)