Thanks for initiating this thread, Kaldari.

On Mon, Aug 25, 2014 at 9:30 PM, Ryan Kaldari <[email protected]>
wrote:

> Part of scientific investigation is forming a hypothesis, but that's
> difficult to do when you don't even have anecdotal evidence. There's
> nothing wrong with beginning an investigation with imperfect data. That's
> how most investigations begin.
>

I agree with this. There are two paths we can undertake here:

1. We look at the self-reported gender data and do some simple
observations.
Pros:
   + we will have an updated view of the gender gap problem.
   + we may spread seeds for further internal and/or external research
about it.
Cons:
   - If simple observations are not communicated properly, they will result
in misinformation, that can possibly do more harm than good.
   - The results will be very limited given that we know the data is very
limited and contains biases.

2. We do extensive gender gap analysis internally.
Proper gender gap analysis, in a way that can result in meaningful
interventions (think products and features by us or the community) requires
one person from R&D to work on it almost full time for a long period of
time (at least six months, more probably a year). In this case, the
question becomes: How should we prioritize this question? Just to give you
some context: Which of the following areas should this one person from R&D
work on?
   * reducing gender gap
   * increasing editor diversity in terms of nationality/language/...
   * increasing the number of active editors independent of gender
   * identifying areas Wikipedia is covered the least and finding editors
who can contribute to those areas
   * ...

I'd put this as a new request to Trello card and expand on it (what
specific questions you're interested in? What do you think you or others
want to do once you have the answer to those questions?). Then the team can
prioritize given the other constraints we have.

Leila


>
> Kaldari
>
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