Skip to content

Latest commit

 

History

History
285 lines (165 loc) · 6.63 KB

slides.md

File metadata and controls

285 lines (165 loc) · 6.63 KB

class: center, middle

Welcome to

Neurohackweek 2017

The Summer Institute for Neuroimaging and Data Science

Follow along at: neurohackweek.github.io/introduction-to-nhw


layout: true


README



(thanks to twitter user @hardmaru)

5 day workshop ...

--

... conference ...

--

... summer school ...

--

... hackathon ...


Neuroimaging and Data Science

--

Tools and practices for:

--

Open

--

Reproducible

--

Data-intensive

--

Neuroscience


layout: true


Data science

What's that?

--

(Drew Conway, 2013)

Attributed to Jeff Hammerbacher and DJ Patil (LinkedIn, circa 2008)


--

  • Multidisciplinary investigations (25%)
  • Models and methods for data (20%)
  • Computing with data (15%)
  • Pedagogy (15%)
  • Tool evalutation (5%)
  • Theory (20%)

--


For example

Van Horn and Toga (2014)


Data science in academia

--


This week

  • 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!

Schedule

Really Detailed schedule


Course faculty


Interaction and collaboration are not optional!

Much of the week depends on collaborating with other participants and with the instructors.

--

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!

--

(important caveat: eScience people)


Our code of conduct

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.


layout: false

Today's schedule

After this: coffee break

10 - 12 Russ Poldrack: Reproducibility in fMRI: What is the problem?

Time Room 1 (DSS SR) Room 2 (DSS MR)
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)

layout: true


Software setup

Maybe you already installed everything?

--

If something doesn't work for you, log into our Jupyterhub:

https://neurohackweek.github.io/jupyterhub


Now some of you might be thinking

--

  • "I don't belong here"

--

  • "I am not a great programmer at all"

--

  • "I don't know enough about neuroscience yet to make a new contribution"

--

  • "When they figure out, they probably won't want to work with me"

--

The imposter syndrome is real

--

But we're all here to learn!


Thanks!

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)


Questions?

--

Let's introduce ourselves

Name, where from, one thing you know/enjoy, one thing you'd like to learn more about.

--

"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"