Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

The interplay of mathematical modelling with experiments is one of the central elements in
systems biology. The aim of reverse engineering is to infer, analyse and understand …

The rapid development of digital libraries and the proliferation of scholarly big data have
created an unprecedented opportunity to explore scientific production and reward at scale …

All physical laws are described as mathematical relationships between state variables.
These variables give a complete and non-redundant description of the relevant system …

In recent decades, there has been a major shift in the way researchers process and
understand scientific data. Digital access to data has revolutionized ways of doing science in …

Artificial intelligence (AI) models trained on published scientific findings have been used to
invent valuable materials and targeted therapies, but they typically ignore the human …

Scientific thinking refers to both thinking about the content of science and the set of
reasoning processes that permeate the field of science: induction, deduction, experimental …

Closed-form, interpretable mathematical models have been instrumental for advancing our
understanding of the world; with the data revolution, we may now be in a position to uncover …

We live in a computerized and networked society where many of our actions leave a digital
trace and affect other people's actions. This has lead to the emergence of a new data-driven …

Ten years after the Human Genome Project's completion the life sciences stand in a moment
of uncertainty, transition, and contestation. The postgenomic era has seen rapid shifts in …