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NeuroCarpentry - Lunch & Learn
Neuroscientists increasingly rely on neuroinformatics for their investigations. Data science offers a key set of tools and methods for robust and reproducible analyses of brain imaging data. These sessions are the first in a series that will teach students fundamental skills that contribute to reproducible brain science.

== Project Bio ==

Since 2018, a group of neuroscientists from several Canadian universities and institutions have been collaborating to create and teach a curriculum for neuroimaging analysis and neuroinformatics. Adopting open standards like BIDS and fostering FAIR principles is among the strategic goals of this training program. This project is seeking a form of accreditation from The Carpentries, whose vision is to be the leading inclusive community teaching data and coding skills. For this reason, we name our effort NeuroCarpentry.

1 - Introduction to working with MRI data and BIDS with Python
Friday, May 28, 11:00-13:30 EDT
Instructor(s): Michael Joseph, CAMH
Github link:

2 - Structural Neuroimaging Analysis in Python
Friday, June 4, 11:00-13:30 EDT
Instructors: Nikhil Bhagwat, McGill; Michael Dayan, Fondation Campus Biotech Geneva
Github link:

3 - Working with EEG-BIDS in EEGLAB (Matlab)
Friday, June 11, 11:00-13:30 EDT
Instructors: James Desjardins, SHARCNET, Compute Ontario, Compute Canada, Brock
University; Sara Stephenson (TA), Brock University
Github links:

Collaborators: Erin Dickie, Jerry Jeyachandra, Jason Kai, Michael Joseph, Sara Stephenson, Nikhil Parag Bhagwat, Patrick Bermudez, Michael Dayan, Paule-J Toussaint, Swapna, Jon Haitz Legarreta, Olivia Stanley, JB Poline, Ted Strauss, James Desjardins
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