CAS TPP: Big Data for Public Policy
Spring 2026 • ETH Zurich
May 8, 2026 — 9:00am–5:00pm
Achieving both ex ante and ex post policy analysis increasingly depends on the ability to access, interpret, and work with complex data systems. Whether designing interventions or evaluating their impacts, the relevant evidence is often distributed across large-scale, continuously updated, and unevenly accessible data infrastructures. This course focuses on that foundation: how data are found, accessed, and made usable in practice. By working directly with real-world datasets and platforms, participants develop the skills to navigate these infrastructures and to understand how data access, quality, and distribution shape the scope, rigor, and equity of impact assessment.
May 8, 2026 — 9:00am–5:00pm
Achieving both ex ante and ex post policy analysis increasingly depends on the ability to access, interpret, and work with complex data systems. Whether designing interventions or evaluating their impacts, the relevant evidence is often distributed across large-scale, continuously updated, and unevenly accessible data infrastructures. This course focuses on that foundation: how data are found, accessed, and made usable in practice. By working directly with real-world datasets and platforms, participants develop the skills to navigate these infrastructures and to understand how data access, quality, and distribution shape the scope, rigor, and equity of impact assessment.
See the full day schedule on the Syllabus page.
Please complete Pre-Course Readings
and review Tech Setup before class.
Contact
Instructor: Millie Chapman
Email: melissa.chapman@usys.ethz.ch
Website: milliechapman.info
Office hours and additional contact details will be provided at the start of the course.