Data quality competencies are essential in most fields of research. Teaching skills on how to identify, foresee, diagnose, fix, and frame potential problems related to the quality of data used by social scientists is important to ensure the correctness of the conclusions drawn from the data. Especially with the rise of machine learning and large language model-based analysis approaches, high...
The complexity of HPC environments often creates a barrier for new users, leading to inefficient utilization of resources and slower onboarding. Traditional onboarding methods rely heavily on command-line interfaces or dense documentation, which can overwhelm and discourage learners before they even submit their first job.
To bridge this gap between traditonal HPC environments and modern...
