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2019

V. Macchiati, Brandi, G., Cimini, G., Caldarelli, G., Paolotti, D., and Di Matteo, T., “Systemic liquidity contagion in the European interbank market”, arXiv preprint arXiv:1912.13275, 2019.

2018

D. Di Gangi, Sardo, D. R. Lo, Macchiati, V., Minh, T. P., Pinotti, F., Ramadiah, A., Wilinski, M., and Cimini, G., “Network Sensitivity of Systemic Risk”, arXiv preprint arXiv:1805.04325, 2018.

In Evidence

Academic Year 2021-2022 (37th cycle)

As the Italian Ministry has decided to invest in a doctoral program on Artificial Intelligence, next year the Data Science Ph.D. will become one of the 5 nodes of a new national initiative: the National Artificial Intelligence Ph.D. All the partner institutions of the current program will join the new Ph.D.

The upgrade of the current Data Science Ph.D. to the new National Ph.D. program, while keeping the multidisciplinar structure of the current program, will double the number of available grants.

The call for application should be published in late spring and the program should start in November 2021.
For more details, please refer to:

https://www.phd-ai.it/

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In Evidence

Academic Year 2021-2022 (37th cycle)