COMPUTO, the journal for reproducible statistical research

Computo (latin for calculate, compute, reckon) is a new journal launched by the French statistical society (SFDS) to promote reproducible research in statistics and machine learning by publishing papers with reproducible contributions. Towards this goal, Computo goes beyond classical static publications by including technical advances in literate programming and scientific reporting. The reproducibility of numerical results is a necessary condition for publication in Computo. In particular, submissions must include all necessary data (e.g. via zenodo repositories) and code. For contributions featuring the implementation of methods/algorithms, the quality of the provided code is assessed during the review process. Meaning accepting contributions in the form of notebooks (e.g. Rmarkdown, or Jupyter). This is a 100% free and open-access journal, thanks to the sponsoring of the SFDS. Once a manuscript is accepted, its reviews will be made available on the Computo website. Reviewers can choose to remain anonymous or not. (Towards an even broader reach, we are now considering a partnership with the PCI, following an earlier attempt I did not pursue till its completion…) Computo’s logo has been designed by Loïc Schwaller. And represents the letters of Computo in bytes. Submissions are now open!

the Peer Community journal [not the PCI journal!]

After a debate within the PCI (Peer Community in) communities as to whether or not create a Peer Community Journal, the decision was made to launch it and it is now ready. A really great initiative that I support (albeit from a fringe field when considering the range of the PCIs) and which can only succeed (to bypass traditional journals) if submissions happen. (There already exists a PCI Journal, specialising in research on precast, prestressed concrete. Not to be confused with!) To quote from the journal webpage,

Once an article has been recommended by a PCI, the authors can opt to leave it on a preprint server, to publish it in Peer Community Journal, to submit it to a PCI-friendly journal or to any other journal.

Peer Community Journal is run by researchers for researchers and is funded by public research institutions. It is:

• Unique = it is a single journal for all PCIs, and a generalist journal (Ecology, Evolutionary biology, Genomics, Archaeology, Paleontology, Network Science, Zoology, Infection, etc. )
• Free = it is a diamond open-access journal (free for both authors and readers), financed by public research institutions and Plan S compatible.
• Exclusive = it publishes only articles recommended by PCI
• Unconditional = it can publish any PCI-recommended article in its recommended version
• Opt-in = it publishes articles only if the authors wish it
• Immediate = after recommendation by a PCI, no delay between transfer to the journal and publication
• Community-based, with more than 1500 recommenders playing the role of Editors

This journal, created and funded by the PCI organization, accepts PCI-recommended articles without further peer reviews.

special issue of Entropy

news from PCI

Nature tidbits

Before returning a few older issues of Nature to the coffee room of the maths department, a quick look brought out the few following items of interests, besides the great cover above:

• France showing the biggest decline in overal output among the top 10 countries in the Nature Index Annual Tables.
• A tribune again the EU’s Plan S, towards funding (private) publishers directly from public (research) money. Why continuing to support commercial journals one way or another?!
• A short debate on geo-engineering towards climate control, with the dire warning that “little is known about the consequences” [which could be further damaging the chances of human survival on this planet].
• Another call for the accountability of companies designing AI towards fairness and unbiasedness [provided all agree on the meaning of these terms]
• A study that argues that the obesity epidemics is more prevalent in rural than urban areas due to a higher recourse to junk food in the former.
• A data mining venture in India to mine [not read] 73 million computerised journal articles, which is not yet clearly legal as the publishers object to it. Although the EU (and the UK) have laws authorising mining for non-commercial goals. (And India has looser regulations wrt copyright.)