[Lisa_seminaires] Fwd: Connectionists: The ReScience journal

Yoshua Bengio yoshua.umontreal at gmail.com
Sam 5 Sep 18:35:32 EDT 2015


Very interesting!
Reproducibility is VERY weak in the machine learning community, and needs
to be improved.

---------- Forwarded message ----------
From: Nicolas P. Rougier <Nicolas.Rougier at inria.fr>
Date: 2015-09-03 8:57 GMT-04:00
Subject: Connectionists: The ReScience journal
To: Connectionists group <connectionists at cs.cmu.edu>



It's our great pleasure to announce the creation of "ReScience" which is a
peer-reviewed journal that targets computational research and encourages
the explicit replication of already published research, promoting new and
open-source implementations in order to ensure that the original research
is reproducible.

To achieve such a goal, the whole editing chain is radically different from
any other traditional scientific journal. ReScience lives on GitHub where
each new implementation is made available together with comments,
explanations and tests. Each submission takes the form of a pull request
that is publicly reviewed and tested in order to guarantee that any
researcher can re-use it.

Students are strongly encourage to submit to ReScience. Even if the
publishing model is a bit different from other academic journals, this will
give them a first experience at peer-reviewed publishing where they have to
use a rigorous and scientific approach.

        • More on the journal website:
https://github.com/ReScience/ReScience/wiki
        • Current issue:
https://github.com/ReScience/ReScience/wiki/Current-Issue
        • FAQ:
https://github.com/ReScience/ReScience/wiki/Frequently-Asked-Questions
        • Follow us on twitter (@ReScienceEds):
https://twitter.com/rescienceeds

And if you're familiar with Git and GitHub, you can also become a reviewer:
just contact us.


Konrad Hinsen & Nicolas Rougier
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