The the era of big data in the earth sciences is here and learning how to effectively use oceanographic remote-sensing data, both in the cloud and on your computer, is a core skill for modern fisheries science and management. Learning how to access cloud-based data, visualize these data, use these data in models, and use the tools of modern reproducible and collaborative science is the main goal of these hackday events. Through these events, participants will gain experience with assessing remote-sensing data in the cloud, R and RStudio, Python and Jupyter notebooks, and collaborating with Git and GitHub.
- Learn how to discover and use oceanographic remote-sensing data for species distribution modeling and other fisheries applications
- Familiarize participants with using remote-sensing data in R and Python with code.
- Obtain hands-on experience in using remote-sensing data for various science applications.
- Learn by working together on a group project.
- What is a hack event? See the description of hackweeks on the University of Washington eScience institute website:
A hackweek is a participant-driven workshop that blends data science education, community building, and project work over a short period of time (one to two weeks). The events are highly immersive and allow participants to work directly with data science professionals to co-shape projects and educational outcomes. Hackweeks often help individuals and teams engage more effectively in open and reproducible science. - eScience Institute, University of Washington
- All tutorials and examples are developed openly and will be publicly available during and following the event. Participants will strengthen their practice of open science, using open source code and collaborating on their projects with course peers.
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