Delivered study plan

1. Algorithms and computational models for large-scale data analysis (April 8th - 16th 2019)
Silvio Lattanzi (Google)
Fabrizio Silvestri (Facebook)

2. Cryptographic primitives for blockchain and the security of cloud-based systems (May 10th - 21st 2019)
Silvio Micali (MIT)
Giuseppe Persiano (Salerno)
Daniele Venturi (Sapienza)
Angelo Spognardi (Sapienza)

3. Algorithmic bias, fairness and ethics in machine learning systems (May 27th - 31st 2019)
Carlos Castillo (UPF)
Francesco Bonchi (ISI Torino and Eurecat Barcelona
Vassilis Gkatzelis (Drexel University)
Fedor Sandomirskiy (St. Petersburg School of Management)
Chris Schwiegelshohn (Sapienza)

4. Network Medicine, Digital Epidemiology and Network Science (June)
Ciro Cattuto (ISI, Torino)
Guido Caldarelli (IMT, Lucca)
Jörg Menche (Austrian Academy of Sciences)

5. Machine Learning applications in Digital Humanities (September)
Davide Nadali (Sapienza)
Antonella Sbrilli Eletti (Sapienza)
Silvia Ferrara (Università di Bologna)

6. Italian PhD School of Data Science
Co-organized with the PhD program in Data Science of Pisa
3-10 September, Pisa.

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