With the research groups Computational Science and Mathematical Methods (CSMM), Methods for Big Data (MBD) and Uncertainty Quantification (UQ) as well as the Computational and Mathematical Modeling Program (CAMMP) project, SCC makes an important contribution to the development of methods at the interface of computer science, statistics and applied mathematics as well as their application in practice. In particular, the topics of artificial intelligence, machine learning and deep learning, Bayesian and statistical learning, but also the numerical challenges in the exascale era benefit from SCC's mathematical expertise. SCC is interdisciplinary successful in these research topics with three professorships in the CSMM, MBD and UQ research groups and makes important contributions to the promotion of young talent in these areas in academic teaching with lectures, seminars and modeling weeks as well as hackathons. The CAMMP project is also involved in teaching mathematics in schools.