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

Simulation studies are intricate processes that require interweaving model refinement and
executing diverse experiments. Simulation models and data are the result of complex and …

The physico-chemical surface design of implants influences the surrounding cells.
Osteoblasts on sharp-edged micro-topographies revealed an impaired cell phenotype …

With the increasing complexity of simulation studies, and thus increasing complexity of
simulation experiments, there is a high demand for better support for them to be conducted …

Valid models are central for credible simulation studies. If those models do not exist, they
need to be developed. In fact, entire simulation studies are often aimed at developing valid …

In the last decade, the uptake of agent-based modeling in demography and other population
sciences has been slowly increasing. Still, in such areas, where traditional data-driven …

Developing a realistic agent-based model of human migration requires particular care.
Committing too early to a specific model architecture, design, or language environment can …

Conceptual models play an important role in conducting simulation studies. A formal or at
least explicit specification of conceptual models is key for effectively exploiting them during …

Simulation models and data are the primary products of simulation studies. Although the
provenance of simulation data and the support of single simulation experiments have …

Simulation studies are intricate processes and user support for conducting more consistent,
systematic, and efficient simulation studies is needed. Simulation experiments as one crucial …