Advancing Scientific Computing through Research Software Competencies and Data-Driven HPC

Scientific computing is evolving rapidly due to the increasing complexity of research software, the explosion in data volumes and the need for high-performance computing solutions. In addition, advancing scientific discovery requires strong research software competencies, scalable data management and reproducible workflows. This talk will explore the critical intersection between research software engineering, data management and HPC, highlighting challenges, emerging trends, reproducibility in computational research and the role of AI.