Invited Session Machine learning: different uses and perspectives Organizer: Matteo Mazziotta (ISTAT) Chairs: Salvatore Strozza (Università di Napoli Federico II) Discussant: Annamaria Bianchi (Università di Bergamo) Room: T32 Floor: ground Short summary: The use of machine learning techniques is increasing and it can play a crucial role in Official Statistics improving the quality of the outputs or increasing the efficiency of the production processes. In the last few years, several projects were launched for testing its use and applicability in different contexts.
The aim of the session is to show the various applications in order to understand their usefulness in a critical perspective in which pros and cons are at the center of scientific debate
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Papers
1.
Evaluation of pollution containment policies in the US and the role of machine learning algorithms Author(s) Marco Di Cataldo Margherita Gerolimetto Stefano Magrini Alessandro Spiganti
2.
Machine Learning for Official Statistics: An Application on External Trade Author(s) Mauro Bruno Maria Serena Causo Alessio Guandalini Francesco Ortame Silvia Russo
3.
Machine learning, data quality and official statistics: challanges and opportunities Author(s) Stefano Menghinello
Dipartimento di Scienze Economiche e Sociali (Di.S.E.S.)