Massive computation and the emerging exascale infrastructures have a major impact on IIT’s Strategic Plan. Two major developments in computational sciences are the massive simulations of physical systems, repeated numerous times to generate robust statistics and the data mining of vast datasets to identify unexpected patterns (i.e. big data analytics). Massive simulations are impacting on many fields including drug discovery, material science, nanoparticle design and, more generally, condensed matter physics. Dataset data mining is playing a major role in artificial intelligence (e.g., for robotics) and genomics. Computational activities need informatics infrastructures, including high-performance computing (HPC), big data storage, and cloud computing. HPC is crucial for computational life sciences and material sciences. Big data storage is crucial for genomics and, more generally, for personalized medicine programs. Cloud computing is pivotal for efficient data processing in robotics via ultrafast Wi-Fi connections, such as 5G. In this context, one of the main objectives of 2018-2023 Computational Sciences Research Domain is to establish a dynamic interplay between HPC and big data analytics. We are achieving this by developing a new portfolio of HPC codes, ranging from new tools for multiscale simulations to machine-learning and deep-learning algorithms.