9:00 - 9:30
Introduction to the datasets used in Economic Complexity
Big data approach and Big noise considerations
Details of the main datasets: International trade, Patents activity, Scientific production, Employment
9:30 - 10:30
What are networks and where to find them
Networks’ zoology
Topological properties
Bipartite networks
Nestedness
Break 10:30 - 11:00
11:00 - 12:30
Lecturer: Andrea Zaccaria
General ideas and intuition behind the concept of relatedness
Network-based measures of relatedness
Machine learning algorithms to assess relatedness
Forecasting new activities to compare relatedness measures
How to recover explainability
Lunch 12:30 - 13:30
13:30 - 15:30
Break 15:30 - 16:00
16:00 - 18:00
Free time 18:00 onwards