The Next Generation Water Resources Modeling Framework (NextGen), developed by NOAA’s Office of Water Prediction, supports future U.S. National Water Model forecasting. However, its technical complexity, including domain configuration, input data generation, and execution environment setup, can limit accessibility for researchers and educators. This presentation will discuss the use of JupyterHub computing platforms linked to HydroShare to address these challenges and support collaborative research. Tools developed by the Cooperative Institute for Research to Operations in Hydrology (CIROH) have been deployed in a cloud-based JupyterHub environment to streamline model setup, data preparation, execution, and analysis. With this configuration, researchers can define a spatial domain and time period, generate input files, run the model, and analyze outputs, all within a pre-configured cloud environment. Model results can be compared with operational and retrospective outputs from NOAA’s National Water Model and ground-based observations, providing a foundation for evaluation and improvement. Workflows and results are encapsulated in Jupyter Notebooks and shared via HydroShare to promote accessibility, transparency, and reproducibility. By lowering technical barriers, this approach expands community engagement with NextGen, fosters collaborative hydrologic research, and serves as an entry point for research to improve the National Water Model as it adopts the NextGen framework.