Data Carpentry is organizing a 3-day hands-on hackathon aimed at 
developing, and later teaching, a short-course curriculum on using Jupyter 
notebooks for reproducible research practices. Full details are provided in 
the *Call for Participation: https://git.io/vXAaa <https://git.io/vXAaa>*. 
Making science more reproducible has enormous potential to accelerate 
research advances, including (and especially) for practicing individuals.

The event will be held *January 9 - 11, 2016* at the Berkeley Institute for 
Data Science (BIDS) <http://bids.berkeley.edu/> in Berkeley, CA. Data 
Carpentry aims to assemble a diverse and interdisciplinary group of 
participants, and invites individuals and interested groups to 
*apply by December 5, 2016, at https://goo.gl/aPO71f 
<https://goo.gl/aPO71f>.*
For more information, please see the 
*full Call for Participation on GitHub here: https://git.io/vXAaa 
<https://git.io/vXAaa>*
--
Jamie Whitacre
Jupyter Technical Project Manager
Berkeley Institute for Data Science (BIDS)
jupyter.org | bids.berkeley.edu

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