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Speaker: Massimo Brescia (INAF-Osservatorio Asstronomico di Capodimonte).

Titolo: Leverage data science in modern astrophysics
Abstract:
The exploration of the Universe is one of main topics within the research in Physics Sciences. All incoming and on going astrophysical surveys are characterized by a huge amount of heterogeneous multi-wavelength data, which will require efficient automatic methods to be exploited in an optimal and competitive way by the italian scientific community.
Astrophysics data are then characterized by large volume, velocity and
variety, the three conditions at thebase of the Big Data paradigm. Therefore, an approach based on data mining, statistics,
machine and deep learning, in one word Astroinformatics, is required. We
will discuss a variety of such methodologies, already available and validated in several astrophysical contexts, with  the aim at proposing a pragmatic
way to approach the scientific topics of the incoming multi-messenger
Astrophysics.