Scientific open-source software (OSS) has greatly benefited research communities through
its transparent and collaborative nature. Given its critical role in scientific research, ensuring …

As many other disciplines, control theory to some degree suffers from a reproducibility crisis.
In particular, since computational methods like simulation, numeric approximation or …

Methods or approaches from disciplines outside of OR Modeling and Simulation (M&S) can
potentially increase the functionality of simulation models. In healthcare research, where …

Computational algorithms have become an essential component of research, with great
efforts by the scientific community to raise standards on development and distribution of …

Neuroimaging study results can vary significantly depending on the datasets and processing
pipelines utilized by researchers to run their analyses, contributing to reproducibility issues …

Computational reproducibility, or the ability to reproduce analytic results of a scientific study
on the basis of publicly available code and data, is a shared goal of many researchers …

There is evidence that scholarly processes have bias and create barriers to inclusion; more
openness in scholarly communication is needed. Progress towards a better scholarly …

In 2016 a collection of guiding principles for the management of scientific data was
proposed by a consortium of scientists and organizations under the acronym FAIR …

Recent studies have shown that the majority of published computational models in systems
biology and physiology are not repeatable or reproducible. There are a variety of reasons for …

Critical goals of scientific computing are to increase scientific rigor, reproducibility, and
transparency while keeping up with ever-increasing computational demands. This work …