Dear Colleagues,

We are excited to announce a call for papers for a Special Issue in the
journal *Mathematics*, “Advances in Statistical Computing.” As the name of
the Special Issue suggests, the goal is to showcase exciting new
developments in the field of statistical computing. These developments,
from new algorithms and methods to a deep dive into interdisciplinary
team-based development or normative discussions on open science, need not
be exclusively “mathematical” in nature. That is, though authors may
certainly rely heavily on mathematics if desired, the goal of this Special
Issue is more broadly focused on fostering a discussion surrounding the
rapid and exciting development of the field of statistical computing,
broadly defined. Such an effort will necessarily include a range of
submissions such as high-level discussions pushing the field to consider
significant challenges and opportunities, technical papers that introduce
and unpack new methods, or even a reimagining of an existing paradigm. It
is our hope that a wide selection of papers will contribute to a thorough
treatment of where we are as a field, and the boundless potential of where
we are headed. Of note, the development and advancement of statistical
computing is occurring everywhere, both in and out of academia. As such,
scholars at all stages from graduate students to faculty members and those
in industry are encouraged to submit to this Special Issue to incorporate
as many voices and perspectives in this critical topic as possible.

Feel free to take a look at the call and submit manuscripts here: <
https://www.mdpi.com/journal/mathematics/special_issues/Advances_in_Statistical_Computing
>

Don't hesitate to reach out directly (contact info below) with any
questions. Thanks!

Philip Waggoner (<https://pdwaggoner.github.io/>)
Dominique Makowski (<https://dominiquemakowski.github.io/>)
Co-Guest Editors

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   Editors:  Dominique Lockett and Luwei Ying
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