K2SP 3285 - Digital economics: Platform, Data and Artificial Intelligence

This course explores how digital technologies transform market structures, business models, and regulatory challenges. It focuses on platforms, data, and artificial intelligence, examining their impact on competition, pricing, innovation, and labor. Students will learn to analyze how platforms shape economic interactions and how public policy can respond to emerging tensions around privacy, market power, and digital sovereignty. The course combines conceptual tools with real-world case studies to understand the evolving digital economy. Each session is grounded in academic literature and connects theory to current policy debates.

There is no specific pre-requisite for the course. Some knowledge of microeconomics and/or industrial organization and/or simple economic mechanisms will help. It would also be helpful to have some knowledge on basic econometrics

Slides, Moodle, In-class activities and discussions.

The evaluation will consist of:

(80%) a group project on a chosen topic, allowing students to deepen their theoretical knowledge throughout the semester and apply it through various exercises: (1) a short literature review (5–10 academic papers), (2) an analytical assignment based on the review, such as an empirical

synthesis, theoretical reflection, replication study, or cross-country policy comparison, and (3) a final report and an oral presentation of 15 minutes followed by a Q&A

(20%) a short individual MCQ (Multiple choice questions) in class

Students are expected to review course content regularly, read selected scientific articles and public policy reports, and prepare for the final assessment by taking notes and engaging critically with assigned materials.