Neurohackademy: summer school in neuroimaging data sciencePosted By: David Kennedy - Jan 29, 2018
Tool/Resource: NITRC Community
Neurohackademy: summer school in neuroimaging and data science, July 30th - August 10th, 2018
We are happy to announce a call for applications to participate in Neurohackademy 2018!
This two-week hands-on workshop (formerly "Neurohackweek"), held at the University of Washington eScience Institute in Seattle, July 30th - August 10th, 2018, will focus on technologies used to analyze human neuroscience data, on methods used to extract information from large datasets of publicly available data (such as the Human Connectome Project, OpenfMRI, etc.), and on tools for making human neuroscience research open and reproducible.
Neurohackademy sessions in the first week will include lectures and tutorials on data science, machine learning, data visualization and data resources. The second week will be devoted to participant-directed activities: guided work on team projects, hackathon sessions, and breakout sessions on topics of interest.
Instructors include Deanna Barch, Eva Dyer, Fernando Perez, Russ Poldrack, Jake Vanderplas, Gael Varoquaux, Tor Wager, and Kirstie Whitaker, among others.
For more details, see: https://neurohackademy.github.io/
We are now accepting applications to participate from trainees and researchers in different stages of their career (graduate students, postdocs, faculty, and research staff) at:
Ideally, applicants should have some prior experience with neuroscience data analysis, but we welcome applications from participants with a variety of relevant backgrounds.
Accepted applicants will be asked to pay a fee of $200 upon final registration. This fee will include participation in the course, accommodation in the UW dorms, and two meals a day (breakfast and lunch), for the duration of the course. A limited number of fee waivers and travel grants will be available. We encourage students with financial need and students from groups that are underrepresented in neuroimaging and data science to apply for these grants (see application form for details).
March 19th: Application deadline
April 5th: Notification of acceptance
April 23rd: Final registration deadline
On behalf of the instructors,
Ariel Rokem, University of Washington
Tal Yarkoni, University of Texas, Austin