Owing to the continuous advances in computational methods and high-performance computing resources, simulations in computational materials science have not only contributed to fundamental science, such as elucidating quantum critical phenomena, but also have enabled highly accurate descriptions of real materials relevant to industrial applications. Furthermore, with the introduction of data-driven approaches, including machine learning, the scope of applications for numerical data generated through simulation and data science has expanded dramatically. Against this backdrop of innovation in both computing and simulation, our institute will deepen the methodological foundations of computational condensed-matter science and promote research and development of advanced computational methods and software that contribute to materials design and functional exploration. In particular, we will develop and apply innovative methodologies for large-scale simulations and data-driven science, with the aim of enhancing the precision of computational condensed-matter science and expanding its applicability. In addition, by introducing and operating the Institute for Solid State Physics supercomputer that underpins these foundations, and by cultivating highly specialized human resources who will lead the next generation of research and contribute to the advancement of the field, our institute will serve as a hub for the national computational materials science community and play a central role as a core center in computational materials science.