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Data science training for future leaders of Deep Ocean Observing

I am thrilled to announce that I will be serving as data science trainer for the Implementing a Deep Ocean Observing Strategy (iDOOS) project in 2022 – 2024.

You can explore the FAIR Data Training Modules [here].

iDOOS is an NSF-funded AccelNet project that brings together U.S. and international networks engaged in deep-ocean observing, mapping, exploration, modeling, research, and management. Read our paper in Marine Technology Society Journal: “The Deep Ocean Observing Strategy: Addressing Global Challenges in the Deep Sea Through Collaboration”

A goal of the project is to enable findable, accessible, interoperable, and reusable (FAIR) deep-sea data and a data-enabled, deep-sea workforce. As part of the mentorship and training of the next generation, iDOOS initiated a network of Deep Ocean Early career Researchers (DOERs) from across the globe.

Meet these future leaders of Deep Ocean Observing in this Storymap.


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