Software pervades every domain of science (–), perhaps nowhere more decisively than in
modeling. In key scientific areas of great societal importance, models and the software that …

Repeating experiments is an important instrument in the scientific toolbox to validate
previous work and build upon existing work. We present two concrete use cases involving …

Computational tools are at the core of modern research. In addition to experiment and
theory, the notions of simulation and data-intensive discovery are often referred to as “third …

Almost all research work in computational neuroscience involves software. As researchers
try to understand ever more complex systems, there is a continual need for software with …

The BiographyNet project aims at inspiring historians when setting up new research
projects. The goal is to create a semantic knowledge base by extracting links between …

Evaluating experimental results in the field of computer systems is a challenging task, mainly
due to the many changes in software and hardware that computational environments go …

There is no doubt that papers published in the Journal of Chemical Information and
Modeling, and related journals, provide valuable scientific information. However, it is often …

Software is a central part of modern scientific discovery. Software turns a theoretical model
into quantitative predictions; software controls an experi-ment; and software extracts from …

Most scientists need software to perform their research (Barker et al., 2020; Carver et al.,
2022; Hettrick, 2014; Hettrick et al., 2014; Switters and Osimo, 2019), and neuroscientists …

When we read about the claims made in scientific papers, we tend to believe that they have
been written by their authors in good faith. The process of science therefore demands the …