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UID:320@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20260713T090000
DTEND;TZID=America/Los_Angeles:20260724T150000
DTSTAMP:20260311T170449Z
URL:https://escience.washington.edu/events/neurohackademy-2/
SUMMARY:Neurohackademy
DESCRIPTION:NeuroHackademy is an opportunity for participants to learn sta
 te-of-the-art methods for the analysis and management of large human neuro
 science datasets while also networking and working with domain experts and
  each other on concrete neuroscience problems. The curriculum emphasizes l
 arge datasets of publicly available data (such as the Human Connectome Pro
 ject\, OpenNeuro\, etc.)\, and on the value of making human neuroscience r
 esearch open and reproducible.\n\nNeuroHackademy sessions in the first 
 week will include lectures and tutorials on data science\, machine learnin
 g\, data visualization\, and data resources\, as well as extended Q&amp\;A
  sessions. The second week will be devoted primarily to participant-direct
 ed activities: guided work on team projects\, hackathon sessions\, and bre
 akout sessions on topics of interest. Participants will have an opportunit
 y to present their own work in a session that will take place in the secon
 d week of the event.\n\nThis event will be held in a hybrid format\, with 
 options to attend in-person in Seattle\, or online. Participants attending
  online will join the event through multiple online channels\, including z
 oom-casts of lectures and breakout sessions\, Slack conversations\, and co
 llaboration through GitHub and through the course’s online JuptyerHub.\n
 \nSee this link for more details and a preliminary list of instructors.\n\
 nWe are now accepting applications at this link.\n\nIdeally\, applicants s
 hould have some prior experience with programming and with neuroscience da
 ta analysis\, but we welcome applications from participants with a variety
  of relevant backgrounds. Please visit this page to view frequently asked 
 questions.\n\nAccepted applicants will be asked to pay a fee of $250 (in p
 erson) / $25 (online) upon final registration. Fees cover housing and two 
 meals per day for in person participants.
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