We review agent-based models (ABM) of human migration with respect to their decision-making rules. The most prominent behavioural theories used as decision rules are the random utility theory, as implemented in the discrete choice model, and the theory of planned behaviour. We identify the critical choices that must be made in developing an ABM, namely the modelling of decision processes and social networks. We also discuss two challenges that hamper the widespread use of ABM in the study of migration and, more broadly, demography and the social sciences: (a) the choice and the operationalisation of a behavioural theory (decision-making and social interaction) and (b) the selection of empirical evidence to validate the model. We offer advice on how these challenges might be overcome.
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http://dx.doi.org/10.1007/s10680-015-9362-0 | DOI Listing |
Lancet Public Health
January 2025
US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Background: Rapid, accessible, and accurate testing was paramount to an effective US COVID-19 response. Federal partners supported SARS-CoV-2 testing scale-up through an interagency-coordinated approach that focused on expanding supply chains, research and development, validation, and improving patient access. We aimed to provide an overview of the federal efforts to scale up the testing response and study the impact of scale-up.
View Article and Find Full Text PDFComput Biol Med
January 2025
Department of Industrial Engineering, Izmir University of Economics, Izmir, 35330, Türkiye. Electronic address:
Background: The severity of recent Coronavirus (COVID-19) pandemics has revealed the importance of development of inoculation strategies in case of limited vaccine availability. Authorities have implemented inoculation strategies based on perceived risk factors such as age and existence of other chronic health conditions for survivability from the disease. However, various other factors can be considered for identifying the preferred inoculation strategies depending on the vaccine availability and disease spread levels.
View Article and Find Full Text PDFNonlinear Dynamics Psychol Life Sci
January 2025
Adelphi University, Garden City, NY.
We model an adaptive agent-based environment using selfish algorithm agents (SA-agents) that make decisions along three choice dimensions as they play the multi-round prisoner's dilemma game. The dynamics that emerge from mutual interactions among the SA-agents exhibit two collective-level properties that mirror living systems, thus making these models suitable for societal/biological simulation. The properties are: emergent intelligence and collective agency.
View Article and Find Full Text PDFNonlinear Dynamics Psychol Life Sci
January 2025
Marquette University, Milwaukee, WI.
The articles in this special issue examine the contributions of Jeffrey A. Goldstein to the understanding of emergence as a formal group of processes. Applications include work teams, organizations, ecologies of organizations, and societies.
View Article and Find Full Text PDFNat Commun
January 2025
Biomimetic Systems for Cell Engineering Laboratory, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Intestinal epithelial cells are segregated into proliferative crypts and differentiated regions. This organization relies on specific signals, including Wnt3a, which regulates cell proliferation within crypts, and Eph/Ephrin, which dictates cell positioning along the crypt-villus axis. However, studying how the spatial distributions of these signals influences crypt-villus organization is challenging both in vitro and in vivo.
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