Neurohackweek is a 5-day hands-on workshop in neuroimaging and data science, held at the University of Washington eScience Institute. Participants will learn about technologies used to analyze human neuroscience data, and to make analysis and results shareable and reproducible.
Morning sessions will be devoted to hands-on lectures and afternoon sessions will be devoted to participant-directed activities: hackathon and breakout sessions on topics of interest
This format is inspired by astrohackweek, a similar program focused on astrophysics.
| Time | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
| Morning |
9 AM: Introduction to Neurohackweek 10 AM: Reproducibility in fMRI: What is the problem? (Russ Poldrack) |
9 AM: Cloud computing (Tara Madhyastha) |
9 AM: Machine Learning (Jake Vanderplas) 11 AM: Machine learning in neuroimaging (Chris Holdgraf) |
9 AM: Neuroimaging pipelines (Satra Ghosh and Chris Gorgolewski) |
9 AM: Team projects |
| Afternoon | Data science tools Advanced Unix and Make Python Git and Github Software testing R |
1 PM: Team project pitches 2 PM - 6 PM Team projects 3 PM: Breakout session (Nick Cain, AIBS) |
1 PM - 6 PM: Team projects 3 PM: Breakout session (JB Poline, MNI) 4 PM: Breakout session (J Mumford) |
1 PM - 6 PM: Team projects 3 PM: Breakout session (Bing Brunton, UW) |
Project presentations |
| Evening | 7 PM: Welcome reception | 6 PM - midnight : Hackathon sessions (Alder hall) |
6 PM - midnight : Hackathon sessions (Alder hall) |
6 PM - midnight: Hackathon sessions (Alder hall) |
6:30 PM: Farewell reception and Lake Union cruise |