Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …

When planning interventions to limit the spread of Covid-, the current state of knowledge
about the disease and specific characteristics of the population need to be considered …

Choices made in modeling matter and demand more explication since they determine how
much we can trust modeling insights and predictions within their social, political and ethical …

The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the
sustainability of our health care systems, threatening economic meltdown, and putting …

Turning verbal theories into formal models is an essential business of a mature science.
Here I elaborate on taxonomies of models, provide ten lessons for translating a verbal theory …

Over the last two decades, the use of agent-based models (ABMs) to model and simulate the
dynamics of complex systems has increased significantly among various scientific fields …

Despite the increasing need for tools to support a circular economy, methods for assessing
circularity and environmental consequences in a way that considers dynamic changes in …

Understanding farmers' behaviour and their different responses to environmental change,
institutional change and policy interventions is important to facilitate the understanding of the …

Despite the increasing use of standards for documenting and testing agent-based models
(ABMs) and sharing of open access code, most ABMs are still developed from scratch. This …

Agent-based modeling is a simulation method in which autonomous agents interact with
their environment and one another, given a predefined set of rules. It is an integral method …