Hi everyone,
Later this week I'll be attending Mozfest, Mozilla foundations annual conference in London. Like last year, there is a big "science on the web" track. See →
http://mozillascience.org/mozfest-2014/ for a full schedule.
In addition to two other sessions, I'll be leading a sprint on lesson development for working with data. Over a three hour session, our goal is to build bite sized lessons in small teams which would be cc-by licensed, that could be useful to anyone involved in teaching data lessons. This includes projects like Software/Data Carpentry, School of Data, rOpenSci and others. Also, to maximize our time, we are hoping to take on fixing up/improving existing lessons, rather than starting new ones unless new projects can be mostly completed in the allotted time.
This could also be a great opportunity to write some material for rOpenSci packages. So two questions:
a) Are there lessons you would find useful in any context? e.g. combining one or more packages to achieve a task?
b) Are you interested in leading or collaborating on a lesson remotely (assuming you aren't attending Mozfest).
If we end up creating any substantial material that might be useful to our community, I'll be sure to report back (and perhaps follow up with a blog post if necessary).
thanks,
- Karthik
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