Fwd: Joint Data Carpentry / Jupyter Notebook curriculum development hackathon, January 9-11 in Berkeley, CA
There is no direct tie-in to Galaxy here, but the event is about reproducibility, Jupyter, and curriculum development. If that combination is relevant to you, and you can make it to Berkeley in January, I encourage you to apply by next Monday.
---------- Forwarded message ---------- From: Hilmar Lapp<[hidden email]> Date: Mon, Nov 21, 2016 at 9:17 AM Subject: Joint Data Carpentry / Jupyter Notebook curriculum development hackathon, January 9-11 in Berkeley, CA To: "<[hidden email]>" <[hidden email]>
The RRhack, Data Carpentry, and Jupyter Notebook projects are jointly organizing a curriculum development hackathon on Reproducible Research using Jupyter Notebooks. The event will take place Jan 9-11 at BIDS in Berkeley, CA.
A brief summary of the event and how to apply for participation is enclosed below. The full Call for Participation is here:
I hope in particular those of you who have been interested in porting the RR curriculum to Python are interested in participating, and will apply! Please also redistribute freely to interested people and/or communities as you see fit.
Reproducible Research using Jupyter Notebooks: Curriculum Development Hackathon
Goal: Develop the content of a two-day Data Carpentry workshop teaching how to conduct research reproducibly using the Jupyter notebook
Location: Berkeley Institute for Data Science (BIDS), Berkeley, CA
Dates and times: January 9 - 11, 2017; 9 am - 5 pm each day
To apply: https://goo.gl/aPO71f; deadline December 5, 2016. Successful applicants will be notified by December 12.
Making science more reproducible has enormous potential to accelerate research advances, including for practicing individuals. Despite this, the tools and approaches that are already available are rarely taught. To address this, we are organizing a 3-day hands-on workshop aimed at developing, and later teaching, a short-course curriculum on using Jupyter notebooks for reproducible research practices. The event will be held January 9 - 11, 2016, in Berkeley, CA, at the Berkeley Institute for Data Science (BIDS). We aim to assemble a diverse and interdisciplinary group of participants, and invite those interested to apply by December 5, 2016, at https://goo.gl/aPO71f.
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