BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250510T045204EDT-26301pvMxN@132.216.98.100
DTSTAMP:20250510T085204Z
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\, McGill\; 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 (51³Ô¹ÏÍø)\n	P.J.
  Toussaint (51³Ô¹ÏÍø)\n	Ben Selby (CAMH)\n	James Desjardins (Brock 
 University)\n	Ted Strauss (51³Ô¹ÏÍø)\n	Michael Dayan (Campus Biotec
 h)\n	Sara Stephenson (Brock University)\n	Swapna Premasiri (51³Ô¹ÏÍøUniversit
 y)\n	Patrick Bermudez (51³Ô¹ÏÍø)\n	Jean-Baptiste Poline (51³Ô¹ÏÍøUni
 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
END:VEVENT
END:VCALENDAR