Open science is critically important for tackling today’s most pressing scientific challenges – especially those that demand collaboration between large and distributed project teams (and increasingly teams-of-teams). A common roadblock to initializing, scaling, and maintaining these science teams is that is difficult to teach new researchers the basics of configuring, running, and analyzing models. MSD-LIVE, the MultiSector Dynamics – Living, Intuitive, Value-adding, Environment, is a cloud-based flexible and scalable data management system and advanced computing platform that enables MultiSector Dynamics (MSD) researchers to document and archive their data, run their models and analysis tools, and share their data, software, and multi-model workflows within the MSD Community of Practice. In this talk we will describe how the MSD community is using the interactive Jupyter notebook feature in MSD-LIVE to train new users to understand and run a set of canonical MSD models. The model training notebooks, which are developed by the expert modeling teams, walk users through initializing, running, and analyzing the model. The notebooks are launched on-demand through a web interface. They leverage the scalable cloud-computing capabilities in MSD-LIVE. These notebooks are being used in university classrooms across the country, at multiple MSD community meetings, and at the annual meeting for users of the Global Change Analysis Model. The flexible and dynamic nature of this tool makes it substantially easier to teach new users, including those at small and emerging colleges that might not have the requisite computing environments, to use MSD models.