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 <hilmar.lapp(a)duke.edu>
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: "<repr-sci-curriculum(a)googlegroups.com>" <
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
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
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
Full details at the Call for Participation: https://git.io/vXAaa
Hilmar Lapp -:- genome.duke.edu
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