Aims and scope
Computo has been created in the context of a reproducibility crisis in science, which calls for higher standards in the publication of scientific results. Computo aims at promoting computational/algorithmic contributions in statistics and machine learning that provide insight into which models or methods are the most appropriate to address a specific scientific question.
The journal welcomes the following types of contributions:
- New methods with original stats/ML developments, or numerical studies that illustrate theoretical results in stats/ML;
- Case studies or surveys on stats/ML methods to address a specific (type of) question in data analysis, neutral comparison studies that provide insight into when, how, and why the compared methods perform well or less well;
- Software/tutorial papers to present implementations of stats/ML algorithms or to feature the use of a package/toolbox.
Prospective authors willing to know whether their contribution falls into the scope of Computo are encouraged to contact the editor at email@example.com. Please make sure to include the title and abstract of your work in your pre-submission enquiry.
An open access journal with reproducible contributions
Computo is free for readers and authors. It is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the Budapest Open Access Initiative (BOAI) definition of open access.
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. We accept contributions in the form of notebooks (e.g. Rmarkdown, or Jupyter).
The reviews are open, i.e. visible to any reader after acceptance of the contribution. Reviewers may choose to remain anonymous or not.
Enquiries can be sent to the Chief Editor, Julien Chiquet, through firstname.lastname@example.org.
We rely on Jekyll, BibTeX, the aI-folio Jekyll theme, Rmarkdown, Jupyter-book and we drew our inspiration from Rescience-C and distill.pub among others.
About the logo
Computo’s logo has been designed by Loïc Schwaller.