Hi all,

a few days ago, Nadia Eghbal published an incredible study about the
challenges in open source sustainability.  It's a detailed, comprehensive
and long report on the topic:

http://www.fordfoundation.org/library/reports-and-studies/roads-and-bridges-the-unseen-labor-behind-our-digital-infrastructure

While I strongly recommend reading it in full (I'm not done yet), if you
only have a few minutes, you can start by this very good summary of the
highlights made by Cory Banfield (requests maintainer, Python dev at HP
Enterprise):

https://storify.com/Lukasaoz/open-source-infrastructure-white-paper

We as a project are right now in the fortunate position of having resources
for full-time contributors from our grant funders, and a robust partnership
with companies like Bloomberg, Continuum, IBM or Microsoft that are
pitching in with major contributions.  But that doesn't mean we're immune
to the problems described here, or that many other projects that are very
close to us (numpy, pandas, scipy, matplotlib, scikit*, etc) don't face
these challenges as well.

Contributing solutions to this question was part of what motivated a few of
us to create Numfocus, and I think the foundation has already been a
positive force in this regard.  But there's a lot of ground yet to be
covered, and this study is probably the most authoritative summary of the
problem to date.  I figured I'd share it, as I think everyone on this list
ultimately should care about these questions...

Cheers

-- 
Fernando Perez (@fperez_org; http://fperez.org)
fperez.net-at-gmail: mailing lists only (I ignore this when swamped!)
fernando.perez-at-berkeley: contact me here for any direct mail

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