MeetingOfInterest:Meeting-361
From CSDMS
Oceanhackweek 2019 to explore Data Science in Oceanography
University of Washington eScience Institute
Seattle Washington, United States
26 - 30 August 2019
Seattle Washington, United States
26 - 30 August 2019
|
Deadlines
Abstract submission: The abstract submission deadline has passed Registration: Registration is now closed
Official website
Meeting contact
|
Oceanhackweek is a 5-day learning hackathon aimed at exploring, creating and promoting effective computation and analysis workflows for large and complex oceanographic data. By democratizing data access and increasing exposure to technological assets, our goals are to accelerate research, promote collaboration and cultivate data science literacy among the ocean sciences community. Examples include but are not limited to visualizing and analyzing high-resolution ocean GCMsimulations 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.Of interest for: Marine Working Group Cyberinformatics and Numerics Working Group Artificial Intelligence & Machine Learning Initiative
