Astroinformatics and Astrophysics, a virtuous synergy in the Big Data era 

ABSTRACT: The exploration of the Universe is one of main research topics within the Physics Science field. All incoming and already started astrophysical survey projects are producing and will provide a huge amount of heterogeneous multi-wavelength data, which will require efficient methods and infrastructures 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 to be considered in the context of Big Data. Therefore, an approach based on the paradigms of data mining, machine and deep learning, in one word Astroinformatics, is required. In this work we will proceed through 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.