Reproducible Research using Jupyter Notebooks: Curriculum Development Hackathon

This post originally appeared on the Data Carpentry website

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.

Synopsis

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 hackathon 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.

Full details at the Call for Participation: https://git.io/vXAaa