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Data Science for
Environmental Policy

Fall 2026 • ETH Zurich • D-USYS • 6 CP

This course examines how data and algorithms increasingly shape environmental governance across the policy cycle. Students learn quantitative approaches for working with diverse real-world data, assess the environmental and social impacts of digital systems, and critically evaluate when data-driven approaches support, or hinder, sustainable, equitable decision-making.
For more info, see the full syllabus page. Please review Tech Setup before the second class.

Contact

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Instructor: Millie Chapman

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Office hours: Thursdays, 15:00–16:00, SOL F4.