Computational models are increasingly being used to assist in developing, implementing
and evaluating public policy. This paper reports on the experience of the authors in …

The use of complexity science in evaluation has received growing attention over the last 20
years. We present the use of a novel complexity-appropriate method–Participatory Systems …

Agent-based modelling (ABM) simulates Social-Ecological-Systems (SESs) based on the
decision-making and actions of individual actors or actor groups, their interactions with each …

As we face complex and dynamically changing public health and environmental challenges,
simulation modelling has come to occupy an increasingly central role in public …

Agent-based models (ABMs) have their origins in considerations of complexity science
stipulating that many phenomena can be 'grown from the bottom up'. Explicitly, this was …

Agricultural intensification and abandonment have been identified as two of the more
prominent and polarizing drivers of landscape change in Europe. These transitions may …

Two leading camps for studying social complexity are case-based methods (CBM) and
agent-based modelling (ABM). Despite the potential epistemological links between 'cases' …

Agent-based modeling (ABM) has been widely applied in water science, covering a wide
range of research topics, from evaluating the efficiency of water management strategies at …

This article explores the contribution agent-based modeling (ABM) can make to the study of
LGBTQ workplace inequalities and, conversely, how ABM can adapt to theoretical traditions …

Abstract As cities in East Africa keep growing, so too will demand for charcoal–the region's
preferred urban fuel–placing increasing pressure on rural landscapes where it is produced …