@proceedings{17839,
  author = {Benjamin Ragan-Kelley and Matt Henderson and Fernando Perez and Rollin Thomas and Shreyas Cholia and Lavanya Ramakrishnan},
  title = {Enabling Scientific Collaboration with JupyterHub},
  abstract = {Scientific instruments are increasingly producing large amounts of data. However, instrument time at large-scale user facilities is a highly constrained resource. Research teams need to analyze experimental data in real-time to inform future experimentation, which creates challenges, especially when coupled with High Performance Computing (HPC) systems. Our work explores the use of live collaborative data analysis on HPC systems using the new Jupyter Real-Time Collaboration features to address these issues. We discuss enhancements to the Jupyter platform that were co-developed by our team to support collaboration at HPC centers like NERSC. Our work pays special attention to security and auditing requirements around user traceability. We discuss how users at the National Center for Electron Microscopy collaborated on a data collection and analysis run using this approach. Given the collaborative nature of research, we assert that this type of collaborative, interactive analysis will be a critical part of the scientific workflow.},
  year = {2024},
  journal = {Combined International Workshop on Interactive Urgent Supercomputing (CIW-IUS)},
  publisher = {IEEE},
}