class: center, middle
Follow along at: neurohackweek.github.io/introduction-to-nhw
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5 day workshop ...
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... conference ...
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... summer school ...
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... hackathon ...
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Tools and practices for:
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What's that?
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(Drew Conway, 2013)
Attributed to Jeff Hammerbacher and DJ Patil (LinkedIn, circa 2008)
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- Multidisciplinary investigations (25%)
- Models and methods for data (20%)
- Computing with data (15%)
- Pedagogy (15%)
- Tool evalutation (5%)
- Theory (20%)
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Van Horn and Toga (2014)
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- Tutorials today
- Lectures in the mornings
- Hackathon in the afternoons
- Breakout sessions in the afternoons
- More hackathon in the evenings
- Other activities ... up to you!
- Bing Brunton (University of Washington)
- Nicholas Cain (Allen Institute for Brain Sciences)
- Satra Ghosh (MIT)
- Chris Gorgolewski (Stanford University)
- Chris Holdgraf (UC Berkeley)
- Bernease Herman (UW eScience)
- Anisha Keshavan (University of Washington)
- Tara Madhyastha (University of Washington)
- Jeanette Mumford (University of Wisconsin, Madison)
- Dylan Nielson (NIMH)
- Russ Poldrack Stanford University
- JB Poline (McGill University / MNI)
- Ariel Rokem (UW eScience)
- Valentina Staneva (UW eScience)
- Jake Vanderplas (UW eScience)
- Tal Yarkoni (University of Texas at Austin)
Much of the week depends on collaborating with other participants and with the instructors.
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If you need some peace and quiet, duck into one of the side rooms in the Data Scnience Studio, but if you are in the main space, be up for a conversation!
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(important caveat: eScience people)
We are committed to providing a harassment-free environment to all participants.
To ensure this, we expect standards of conduct.
Certain behaviors are not acceptable and will not be tolerated.
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After this: coffee break
10 - 12 Russ Poldrack: Reproducibility in fMRI: What is the problem?
Time | Room 1 (DSS SR) | Room 2 (DSS MR) |
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12 - 1 | Lunch | -- |
1 - 2 | Unix shell 1 (Valentina) | Best practices in scientific computing: Software containers/Docker (CG) |
2 - 3 | Unix shell 1 (Valentina) | Best practices in scientific computing: Software testing (CG) |
3 - 4 | git/Github (BH)) | Visualization with D3 (AK) |
4 - 5 | git/Github (BH) | Jupyter (DN) |
5 - 6 | Python (TY) | R (JM) |
6 - 7 | Python (TY) | R (JM) |
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Maybe you already installed everything?
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If something doesn't work for you, log into our Jupyterhub:
https://neurohackweek.github.io/jupyterhub
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- "I don't belong here"
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- "I am not a great programmer at all"
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- "I don't know enough about neuroscience yet to make a new contribution"
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- "When they figure out, they probably won't want to work with me"
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We're grateful for support for SINDS through a grant from the NIMH
And to the Moore/Sloan Foundations for supporting the eScience Institute
We are also grateful to the Jupyter team for their collaboration in setting up our Jupyterhub (shoutout to @choldgraf and @yuvipanda)
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Name, where from, one thing you know/enjoy, one thing you'd like to learn more about.
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"I am Ariel Rokem; I am a data scientist at the University of Washington, in Seattle; I enjoy analyzing diffusion MRI data; I am interested in learning more about Javascript"