Intelligent Earth Collective Notebooks

The structure of our course is designed to mirror the structure of the interactive learning in a Jupyter Notebook. It’s just like a chemistry lab, we squeeze the Earth into a web browser shaped beaker, and turn on the team science bunsen burner. Each Section in the module is based on one experiment (or computational workflow) which replicates results available in a published journal article in collaboration with publication coauthors. Sub-sections have various themes, research question motivations, datasets, models, but each have one assessment focusing on skills to address Nested Learning Objectives identified by each Summary question. Sub-sections include: Introduction, Theoretical Background, Methods, Results, Discussion, Conclusion. In the Experiments, we distinguish between cyberinfrastructure, data science, and geoscience domain methods. We also introduce Team Science (Convergence, Diversity, Inclusion, Equity) and Information Science elements in each Section (Findable, Accessible, Interoperable, Accessible).