Despite the increasing importance of in silico experiments to the scientific discovery process,
state-of-the-art software engineering practices are rarely adopted in computational science …

In 2008, we published the first set of guidelines for standardizing research in autophagy.
Since then, this topic has received increasing attention, and many scientists have entered …

Like many scientific disciplines, dynamical biochemical modeling is hindered by
irreproducible results. This limits the utility of biochemical models by making them difficult to …

The considerable difficulty encountered in reproducing the results of published dynamical
models limits validation, exploration and reuse of this increasingly large biomedical …

Process technology-driven performance and energy efficiency improvements have slowed
down as we approach physical design limits. General-purpose manycore architectures …

This open access book presents a ground-breaking approach to develo** micro-
foundations for demography and migration studies. It offers a unique and novel methodology …

Simulation experiments are typically conducted repeatedly during the model development
process, for example, to revalidate if a behavioral property still holds after several model …

Abstract Model-Based Systems Engineering (MBSE) provides workflows, methods,
techniques and tools for optimal simulation-based design and realization of complex …

For many biological systems, a variety of simulation models exist. A new simulation model is
rarely developed from scratch, but rather revises and extends an existing one. A key …

Data farming is a descriptive metaphor that captures the notion of generating data
purposefully to maximize the information “yield” from simulation models. Large-scale …