Open Science in Practice for Coastal Ocean Data Analysis and Visualization

Co-organized by MAGICA, CMCC, the University of Bologna, and EGI.

Also supported by ESIP, who provided AWS Credits to allow Dask scaling and agentic coding via Bedrock, using Claude Code.

Objectives

In this intensive, week-long course, students learn Open Science and FAIR principals, working with cloud native approaches and tools for working with multidimensional Earth Science data. Through a mix of lectures and practical labs, student learn how to:

• Run numerical coastal ocean models on cloud platforms.
• Use agentic engineering to create scientific workflows
• Optimize large model and remote sensing datasets for efficient cloud access.
• Discover, analyze and visualize large multidimensional datasets using open-source, cloud-based tools.
• Build their own cloud-native workflow using datasets that interest them.

They leave with practical skills with immediate benefit, and resources for continued learning.

Location/Date

Bertinoro, Italy (April 20-24, 2026),

Infrastructure

This course uses the Protocoast JupyterHub with Dask Gateway and S3-compatible storage, with the custom quay.io/globalcoast/protocoast-notebook:main environment.

Agentic coding is provided via Claude Code, billed through AWS Bedrock. See bedrock-setup.md for how student access was configured.

Schedule

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