This course is anchored on the seven main sections associated with the key Economics areas where the complex systems studies approach to economy has been known to have important influence. These sections are: Section I: A Philosophical and Methodological approach to Economy using Complexity Sciences; Section II: The structure of interaction; Section III: Macroeconomics and Growth; Section IV: Financial Markets; Section V: International and Monetary Economy Dynamics; Section VI: Regional Economic Systems; Section VII: Evolutionary Economic Dynamics. Other than discussing the literature, the students will be invited to model, implement and discuss some of the underlying mentioned models using social simulation programming libraries, such as NetLogo.
Professor Bruno Gaminha Assistant Research Professor of Complexity in Economics at the IIT-Gandhinagar
Professor Jorge Louçã teaches Computer Science at the IUL - Lisbon University Institute, where he runs the Master and Doctoral Programs in Complexity Sciences. His PhD is in Artificial Intelligence. He coordinates The Observatorium research team and his research interests concern modelling complex social systems through intensive data collection and analysis. He is particularly interested by knowledge generation models in large-scale communication networks. Recently he participated in the creation of the Unitwin network for the Complex Systems Digital Campus, involving institutions from Africa, Latin America and Europe.