Review of counterfactual land change modeling for causal inference in land system science
NR Magliocca, P Dhungana… - Journal of Land Use …, 2023 - Taylor & Francis
Land change models are important tools for land systems analysis, but their potential for
causal inference using a counterfactual approach remains underdeveloped. This paper …
causal inference using a counterfactual approach remains underdeveloped. This paper …
A framework for considering the utility of models when facing tough decisions in public health: a guideline for policy-makers
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 …
disease and policy modelling squarely into the spotlight. Never before have decisions …
[HTML][HTML] Cognition and hypocognition: Discursive and simulation-supported decision-making within complex systems
JG Polhill, B Edmonds - Futures, 2023 - Elsevier
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 …
hundreds of thousands of years ago. Since then, human societies have become, through …
Integrating equity considerations into agent-based modeling: A conceptual framework and practical guidance
aDepartment of Industrial and Operations Engineering, University of Michigan, Ann Arbor,
MI, USA, United States; bSchool of Environmental and Forest Sciences, University of …
MI, USA, United States; bSchool of Environmental and Forest Sciences, University of …
Testing a simple and frugal model of health protective behaviour in epidemic times
The COVID-19 epidemic highlighted the necessity to integrate dynamic human behaviour
change into infectious disease transmission models. The adoption of health protective …
change into infectious disease transmission models. The adoption of health protective …
Agent-based modelling as a method for prediction in complex social systems
C Elsenbroich, JG Polhill - International Journal of Social Research …, 2023 - Taylor & Francis
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 …
stipulating that many phenomena can be 'grown from the bottom up'. Explicitly, this was …
The practice and rhetoric of prediction–the case in agent-based modelling
B Edmonds - International Journal of Social Research …, 2023 - Taylor & Francis
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 …
Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that …
Evaluation of straw and agricultural policy impacts on the sustainability of the straw-based bioeconomy with an agent-based model
TM Del Valle, X Yang, P Jiang - Biomass and Bioenergy, 2024 - Elsevier
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 …
fulfill the societal demand for biobased products and reduce the externalities incurred in the …
Sensemaking of causality in agent-based models
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 …
of causation, the methodology allows for representing many other types of causal …
[HTML][HTML] Antisocial simulation: using shared high-performance computing clusters to run agent-based models
G Polhill - Review of Artificial Societies and Social Simulation, 2022 - rofasss.org
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 …
models | Review of Artificial Societies and Social Simulation Review of Artificial Societies and …