November 27
12:00-1:00 p.m.
Building 2, Level 5, R5220
Speaker: Luciano Pietronero
Host: Gianluca Setti, Dean, Computer, Electrical and Mathematical Sciences and Engineering
Abstract
Economic Fitness and Complexity (EFC) is a contemporary economic discipline developed over the past decade. EFC employs advanced data analysis techniques to construct economic models inspired by Complex Systems science, emphasizing quantitative testing to establish a robust scientific framework.
This data-driven, bottom-up approach addresses specific and concrete problems without economic ideologies, utilizing historical growth data from various countries through methods such as Complex Networks, Algorithms, and Machine Learning. EFC is characterized by scientific rigor, precision in analysis and forecasting, transparency, and adaptability. According to Bloomberg Views, “New research has demonstrated that the ‘fitness’ technique systematically outperforms standard methods, despite requiring much less data.”
For more details, visit the event page.
This Seminar is organized by the Computer, Electrical and Mathematical Sciences and Engineering Division at KAUST.