Oceanhackweek 2019 – Workshop

Join us to explore Data Science in Oceanography!

Please join us at the Oceanhackweek 2019, ​August 26-30, 2019​, at the University of Washington, Seattle. This 5-day hands-on workshop aims to promote effective computational practices for ocean research involving complex observational data and model outputs. Examples include but are not limited to visualizing and analyzing high-resolution ocean GCM simulations from ROMS, MOM, and MITgcm and working with datasets from ARGO, OOI, CCHDO, and IOOS.

Unlike conventional conferences and workshops, Oceanhackweek is constructed based on three core components: 1) immersive tutorials on libraries in the scientific Python ecosystem for accessing and manipulating large datasets, 2) peer-learning, and 3) on-site project work in a collaborative environment.

We invite all self-identified oceanographers who are motivated to learn new skills and workflows to apply. We especially encourage applications from graduate students, post-docs, and early-career scientists with strong interests or background in quantitative analysis of ocean data and models. We believe that every participant, regardless of technical skill level or research experience, can contribute to making Oceanhackweek a success.

To best benefit from the program, participants are expected to have some experience with Python programming. Applicants with extensive programming background in other languages are welcome to apply, if they are willing to get up-to-date on Python basics before the program. Participants are also expected to be present and fully engaged for the entire duration of the workshop.

Financial assistance for travel are available by application. Lodging at University of Washington are provided for all non-local participants.

Application is open until ​May 13, 2019 ​at ​https://form.jotform.com/oceanhack/2019​. Accepted applicants will be notified no later than May 28, 2019.

More information is available on: ​https://oceanhackweek.github.io/For questions, feel free to email ​oceanhkw@uw.edu​.

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