Onboarding tutorial or instructions?

[jeremymanning]

We could define a set of quick tasks that require learning a set of skills deemed necessary for daily function in the lab. E.g. it could be something like:

• Run yourself in one of our active experiments (list maintained on SONA? by lab manager?)
• Create a Jupyter notebook and do a simple analysis
• Compile a PDF document with some bibtex references defined in memlab.bib and including a figure from the simple analysis
• Send results along with signed page for quality check

[jeremymanning]

Other ideas:

• Run a cluster job
• Debug a script using PyCharm (should we add PyCharm to the recommended software downloads list? Should everyone use it?)
• Install the lab Docker container from CDL-tutorials
• Edit the bibliography by adding a paper using BibDesk, and submit a pull request

We could also have different "tracks" depending on the desired role in the lab. E.g. for people who might work on Python packages, maybe they'd create a simple installable package. Or for people who work on MTurk, perhaps they'd implement an experiment in JsPsych and collect data from themselves using sandbox mode. Or for people working with fMRI/EEG/ECoG/eyetracking data, etc., maybe analyze some sample data in whatever formats they're likely to encounter (we could maintain a repo of sample datasets and propose some simple analyses...e.g. in Jupyter notebooks).

[jeremymanning]

It'd also be cool to leverage this, if possible, into something productive (rather than solely being used for training). E.g. we could maintain a list of very simple tasks that could be both used for training and also leveraged in other projects to do useful stuff.

[paxtonfitzpatrick]

Implemented. Closing!