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index.md

@@ -12,7 +12,7 @@ The first training opportunity will kick off **June 3-6 2024 in [Marina Del Rey,
 * *Intended audience:* researchers with no to little experience in Python, R, and their associated science and publishing ecosystems. 
 * *Learning objectives:* basics of scientific Python and/or R; use of open source geoscience software in research; statistical concepts in time series analysis; FAIR science publishing; optional: paleoclimate data acumen. 
 * *Description:* The workshop will consist of a blend of lectures and directed homework in the morning. Afternoon sessions will be reserved for participant's own research needs. 
-* *Completion:* Submission of a notebook (or R markdown) reproducing a study (or part thereof) in their field, published according to FAIR principles. 
+* *Completion:* Submission of a publically-available Jupyter Notebook (or R markdown) on GitHub reproducing a study (or part thereof) in their field, published according to FAIR principles. 
 
 ## Format
 This training will be both synchronous (with the kickoff event in Marina del Rey) and asynchronous over the next 8-10 weeks. The synchronous event will consist of a mixture of lectures, directed homeworks and dedicated time for research or more in-depth tutorials. The asynchronous portion will consist of the development of a Jupyter Notebook reproducing a study (or part thereof) in their field, published according to FAIR principles. The asynchronous portion will be supported through virtual office hours over the 6 weeks following the synchronous event. Final notebooks should be submitted 2 weeks after the end of the asynchronous period. Both the synchronous and asynchronous events will be supported by an online platform, LeapFROGS (a prototype version is available [here](http://linked.earth/ec_workshops_py/)) to learn or review relevant material.