Reproducible NeuroImaging: ReproNim TrainingPosted By: Christian Haselgrove - Aug 28, 2018
Tool/Resource: ReproNim: A Center for Reproducible Neuroimaging Computation
Location: University of California San Diego
Dates: November 2-3, 2018.
How to register: https://tinyurl.com/repronim-train
An increasing body of evidence point to some issues in reproducibility in biomedical or life sciences, raising concerns in the scientific community. ReproNim has developed a curriculum that will give the students the information, tools and practices to perform repeatable and efficient research and a map of where to find the resources for deeper practical training.
This training workshop will introduce material on the key aspects of reproducible brain imaging and will orient attendees using a hands on and practical experience to conduct neuroimaging analyses, using the next generation of tools. By the end of this course, the student will be aware of training materials and concepts necessary to perform reproducible research in neuroimaging. The student will be able to reuse these materials to conduct local workshops and training and be able to customize the training for their specific scenario.
If you are a student, postdoc or researcher in life science who directly works with neuroimaging data - or wish to work with these data, and you have some basic computational background, this training workshop is for you. You should have already done either some R, or Python, or Matlab or Shell scripting, or have used standard neuroimaging tools (SPM, FSL, Afni, FreeSurfer, etc) and be engaged in a neuroimaging research project. You should have already completed a neuroimaging analysis or know how to do one.
For more information, see https://tinyurl.com/repronim-train