Jupyter in Computational Science

Jupyter Notebooks - a publishing format for reproducible computational workflows

It is increasingly necessary for researchers in all fields to write computer code, and in order to reproduce research results, it is important that this code is published. We present Jupyter notebooks, a document format for publishing code, results and explanations in a form that is both readable and executable. We discuss various tools and use cases for notebook documents.

Computational science and pathological science

the best diet for a healthy life. One characteristic these examples all share is that they fade quickly, only to be replaced by a new ultimate answer. Sometimes rather than fading, the thrilling discovery has a second life in checkout-line tabloids. A few of these items are hoaxes, some are merely consequences of over-enthusiasm about preliminary results, but many are honest mistakes carried to...

Social science. Computational social science.

Reproducible research in computational science.

Computational science has led to exciting new developments, but the nature of the work has exposed limitations in our ability to evaluate published findings. Reproducibility has the potential to serve as a minimum standard for judging scientific claims when full independent replication of a study is not possible.

Computational earth system science

Of the many fields of science in which increased numerical simulations and information technology have accelerated recent developments, perhaps none holds more promise than computational earth system science, a field of research within the new science of GeoComplexity. In the past, researchers observed physical and chemical processes to clarify the physics of such natural systems as earthquake ...