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DESCRIPTION:Neuroscientists increasingly rely on neuroinformatics for their
  investigations. Data science offers a key set of tools and methods for ro
 bust and reproducible analyses of brain imaging data. These sessions are t
 he first in a series that will teach students fundamental skills that cont
 ribute to reproducible brain science.\n\nProject Bio\n\nSince 2018\, a gro
 up 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 foste
 ring FAIR principles is among the strategic goals of this training program
 . This project is seeking a form of accreditation from The Carpentries\, w
 hose vision is to be the leading inclusive community teaching data and cod
 ing skills. For this reason\, we name our effort NeuroCarpentry.\n	\n	Sessio
 n 1 - Introduction to working with MRI data and BIDS with Python\n	Friday\,
  May 28\, 11:00-13:30 EDT\n	Instructor(s): Michael Joseph\, CAMH\n	Github li
 nk: https://github.com/carpentries-incubator/SDC-BIDS-IntroMRI\n	\n	Session 
 2 - Structural Neuroimaging Analysis in Python\n	Friday\, June 4\, 11:00-13
 :30 EDT\n	Instructors: Nikhil Bhagwat\, ÂÌñÉç\; Michael Dayan\, Fondation 
 Campus Biotech Geneva\n	Github link: https://github.com/carpentries-incubat
 or/SDC-BIDS-sMRI\n	\n	Session 3 - Working with EEG-BIDS in EEGLAB (Matlab)\n
 	Friday\, June 11\, 11:00-13:30 EDT\n	Instructors: James Desjardins\, SHARCN
 ET\, Compute Ontario\, Compute Canada\, Brock\n	University\; Sara Stephenso
 n (TA)\, Brock University\n	Github links: https://carpentries-incubator.git
 hub.io/SDC-BIDS-EEG-EEGLAB/\n	https://carpentries-incubator.github.io/SDC-E
 EGLAB/\n\nNote\n\nSome familiarity with Python is helpful for the first tw
 o lessons (Introduction to working with MRI data and BIDS with Python and 
 Structural NeuroImaging Analysis in Python). Introductions to Python can b
 e found in such lessons as Software Carpentry’s Plotting and Programming i
 n Python and Programming with Python.\n\nHow to sign up\n\nPlease follow t
 his link to sign up for one or more of these upcoming lessons:\n\nhttps://
 mcgill.zoom.us/meeting/register/tZUsdeqorzMjHN1Ai4TQAZQPmX8QctEloZum\n\nPl
 ease share this announcement widely.\n\nCollaborators:\n\n\n	Erin Dickie (C
 AMH\, University of Toronto)\n	Jerrold Jeyachandra (CAMH)\n	Michael Joseph (
 CAMH)\n	Jason Kai (Western University)\n	Ariel Rokem (eScience Institute / U
  of Washington)\n	Olivia Stanley (Western University)\n	Jon Haitz Legarreta 
 (Université de Sherbrooke)\n	Nikhil Parag Bhagwat (ÂÌñÉç)\n	P.J.
  Toussaint (ÂÌñÉç)\n	Ben Selby (CAMH)\n	James Desjardins (Brock 
 University)\n	Ted Strauss (ÂÌñÉç)\n	Michael Dayan (Campus Biotec
 h)\n	Sara Stephenson (Brock University)\n	Swapna Premasiri (ÂÌñÉç Universit
 y)\n	Patrick Bermudez (ÂÌñÉç)\n	Jean-Baptiste Poline (ÂÌñÉç Uni
 versity)\n\n\nReferences\n\n\n	Project home page: https://conp-pcno-trainin
 g.github.io/neuroimaging-carpentry/\n	Call for teachers: https://carpentrie
 s.org/blog/2021/03/call-for-pilot-workshops-neuroimaging-lessons/\n	CONP cr
 oss-posting https://conp.ca/neuroimaging-carpentry-lunch-learn-2/\n	Carpent
 ries Incubator: https://carpentries.org/community-lessons/#the-carpentries
 -incubator\n\n
DTSTART:20210528T150000Z
DTEND:20210611T170000Z
SUMMARY:NeuroCarpentry - Lunch & Learn
URL:/bic/channels/event/neurocarpentry-lunch-learn-331
 010
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