Land change models are important tools for land systems analysis, but their potential for
causal inference using a counterfactual approach remains underdeveloped. This paper …

The COVID-19 pandemic has brought the combined disciplines of public health, infectious
disease and policy modelling squarely into the spotlight. Never before have decisions …

Homo sapiens is currently believed to have evolved in the African savannah several
hundreds of thousands of years ago. Since then, human societies have become, through …

aDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor,
MI, USA, United States; bSchool of Environmental and Forest Sciences, University of …

The COVID-19 epidemic highlighted the necessity to integrate dynamic human behaviour
change into infectious disease transmission models. The adoption of health protective …

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 …

This paper looks at the tension between the desire to claim predictive ability for Agent-Based
Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that …

The use of straw as feedstock for the bioeconomy constitutes an important opportunity to
fulfill the societal demand for biobased products and reduce the externalities incurred in the …

Even though agent-based modelling is seen as committing to a mechanistic, generative type
of causation, the methodology allows for representing many other types of causal …

Antisocial simulation: using shared high-performance computing clusters to run agent-based
models | Review of Artificial Societies and Social Simulation Review of Artificial Societies and …