There are no prerequisites, but consider:
This course is designed for IE undergrad students. A minimal level of digital literacy and basic knowledge of macroeconomics and microeconomics is key to succeed in this course.
Other interested members of the IE community will require the consent of the professor, based on their previous exposure to specific knowledge and / or experience in the field to attend or audit the course.
OPEN TO IE STUDENTS ENROLLED IN THE FOLLOWING DEGREES (SINGLE AND DUAL): OPEN TO ALL PROGRAMS
This course explores the transformative impact of the digital revolution on economic systems, innovation models, politics, and public policy. Anchored in the rise of artificial intelligence, datadriven decision-making, and platform-based economies, the course examines how emerging technologies are reshaping the foundations of production, labor, value creation, politics and governance.
We will trace the evolution of economic thought in the context of technological change, moving beyond traditional assumptions of rationality to consider how behavioral science, algorithmic decision-making, and complex systems thinking redefine economic dynamics.
The course invites students to reflect critically on the interplay between human creativity and machine intelligence, and to assess the implications of a world increasingly mediated by digital infrastructures and AI-powered tools.
Key focus areas will include:
– The economics of innovation in an AI-driven age
– Regulatory and policy challenges in a data-centric world
– The rise of digital ecosystems and intelligent platforms
– Ethical considerations and political risk in algorithmic governance
– The global race for technological leadership and its geopolitical dimensions
By the end of the course, students will be able to:
– Assess how AI and digital technologies are reshaping economic systems
– Analyze and design digital ecosystems from an economic and policy-oriented perspective
– Evaluate innovation models and economic development strategies in a hyperconnected economy
– Understand the regulatory and ethical tensions surrounding data, algorithms, and AI in society
– Explore how digital innovation is reshaping political engagement, strategy, and power dynamics
