Connectionists: Neurohackweek 2017: a summer school in human neuroscience and data science, September 4th-8th

[Ariel Rokem]

We are happy to announce a call for applications to participate in the
Neurohackweek summer school for neuroimaging and data science.


This 5 day hands-on workshop, held at the University of Washington eScience
Institute in Seattle, 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.


Morning sessions will be devoted to lectures and tutorials, and afternoon
sessions will be devoted to participant-directed activities: guided work on
team projects, hackathon sessions, and breakout sessions on topics of
interest.


For more details, see: http://neurohackweek.github.io/


We are now accepting applications from trainees and researchers in
different stages of their career (graduate students, postdocs, faculty, and
research staff) to participate at:


https://form.jotformeu.com/70342294106348


Some experience in human neuroscience and at least basic knowledge in
programming is desired, 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).


Important dates:


April 18th: Deadline for applications to participate

May 6th: Notification of acceptance

June 1st: Final registration deadline


On behalf of the instructors,


Ariel Rokem, UW eScience

Tal Yarkoni, UT Austin
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