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* more specific on expectations for software papers
* more specific on expectations for software papers
* cleanups (drop scholastica, drop reference to unexisting old news)
* drop reference to myst template
Copy file name to clipboardExpand all lines: _pages/about.md
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title: "About"
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layout: page
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title: About
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permalink: /about
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order: 1
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nav: true
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nav: yes
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---
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science, which calls for higher standards in the publication of
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scientific results. Computo aims at promoting
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computational/algorithmic contributions in statistics and machine
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learning that provide insight into which models or methods are the
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learning (ML) that provide insight into which models or methods are the
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most appropriate to address a specific scientific question.
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The journal welcomes the following types of contributions:
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- New methods with original stats/ML developments, or numerical
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- New **methods** with original stats/ML developments, or numerical
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studies that illustrate theoretical results in stats/ML;
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- Case studies or surveys on stats/ML methods to address a specific
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-**Case studies** or **surveys** on stats/ML methods to address a specific
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(type of) question in data analysis, neutral comparison studies that
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provide insight into when, how, and why the compared methods perform
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well or less well;
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- Software/tutorial papers to present implementations of stats/ML algorithms or
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to feature the use of a package/toolbox.
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-**Software/tutorial papers** to present implementations of stats/ML algorithms or
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to feature the use of a package/toolbox. For such papers we expect not only the description of an existing implementation but also the study of a concrete use case. If applicable, a comparison to related works and appropriate benchmarking are also expected.
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Please *volunteer for reviewing* by [filling this form](https://forms.gle/P9iYJANuNM4WTVHDA)
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<divclass="info-block">
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<div class="info-block-header">Overview</div>
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<div class="info-block-body">
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<p>
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Since recently, Computo relies on <ahref="https://openreview.net/group?id=Computo">Open Review</a>
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for the review process. The review form is text-based, but Markdown and LaTeX formatting is supported so you can add hyperlinks and use LaTeX to add equations to your review. Reviewers are also required to answer
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a handful of rating scale questions about the submission.
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Computo relies on <ahref="https://openreview.net/group?id=Computo">Open Review</a>
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for the review process. The review form is text-based, but Markdown and LaTeX formatting is supported so you can add hyperlinks and use LaTeX to add equations to your review. Reviewers are also required to answer a handful of rating scale questions about the submission.
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</p>
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<p>Once a manuscript is accepted, reviews and discussion will be made available
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on the Computo website. Reviewers can choose to remain anonymous or
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on the Computo website. Reviewers can choose to remain anonymous or
The PDF and the git repository address are then submitted via <ahref="https://openreview.net/group?id=Computo"style="outline: none; border: none;"> OpenReview</a>.
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More details can be found in the following templates, which serve
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as material for starting to write your submission, and as a
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documentation for doing so. The [process is described in a
Please use one of **our templates** (c.f. below) or [our quarto-based extension](https://github.com/computorg/computo-quarto-extension). This will ensure the reproducibility of your contribution and will simplify the final formatting process of your article.
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Choosing one of **our templates** (c.f. below) or [our quarto-based extension](https://github.com/computorg/computo-quarto-extension) would help us in the final formatting process of your article. Moreover, it supports R, Python and Julia!
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In particular, we have dedicated templates for setting everything up either for R, Python and Julia users:
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quarto supports R, Python and Julia: we have dedicated templates for setting everything up:
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<divclass="publications">
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{% bibliography --file templates %}
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</div>
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### Other templates
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if you are attached to Jupyter book or do not prefer to use Quarto, you are of course still encouraged to submit to Computo! A Jupyter-myst template is available that requires more formatting work for production, but author comfort is a priority.
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<divclass="publications">
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{% bibliography --file templates_obsolete %}
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</div>
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## Submit your work
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Once your are happy with your notebook AND the continuous integration (Github action or Gitlab CI) is successful, you must submit your PDF with[OpenReview, our platform for peer-reviewing](https://openreview.net/group?id=Computo).
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Once your are happy with your notebook AND the continuous integration (Github action or Gitlab CI) is successful, you must submit your PDF and the url of your git repository via[OpenReview, our platform for peer-reviewing](https://openreview.net/group?id=Computo).
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## Reviewing and publication
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Computo's accepted papers are published electronically immediately upon receipt under [CC BY 4.0 license](https://creativecommons.org/licenses/by/4.0/).
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Authors retain the copyright and full publishing rights without restrictions.
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More details about the reviewing process are available on the [Review page]({{ site.baseurl }} /review)
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More information about the reviewing process are available on the [Review page]({{ site.baseurl }} /review)
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