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Agent-based modeling for migration and modern slavery research: a systematic review

Author

Listed:
  • Alys McAlpine

    (London School of Hygiene and Tropical Medicine)

  • Ligia Kiss

    (London School of Hygiene and Tropical Medicine
    University College London)

  • Cathy Zimmerman

    (London School of Hygiene and Tropical Medicine)

  • Zaid Chalabi

    (University College London
    London School of Hygiene and Tropical Medicine)

Abstract

This systematic review aims to synthesize how agent-based modeling (ABM) has been used in migration and modern slavery research and provide the basis to model development for social science researchers exploring the use of ABM. We searched five bibliographic databases using two terminology categories: (1) migration or modern slavery terminology; (2) complex system methods terminology. Two reviewers conducted independent article screening. Peer-reviewed articles presenting original migration or modern slavery ABMs were included. Data extraction included model development steps and model characteristics. The dataset was synthesized and compared across studies. We identified 28 articles for inclusion. Many of the ABMs tested theories and about half were based on empirical data. Model development varied considerably and reported methods were extremely opaque. Only five studies used a structured development framework. The most common model involved agents deciding whether and where to migrate and attempting migration. Climate change was a common exogenous scenario modeled. Most of the ABMs did not undergo any sensitivity analysis or validation.ABM has a greater capacity to account for heterogeneous and dynamic decision-making than more frequently applied methods in research on migration and modern slavery. However, there is still a paucity of studies adopting ABM methods. These reviewed ABMs highlight gaps in the reporting and implementing of model development. ABM is a promising technique to address many urgent and complex questions in research on migration and modern slavery to better support decision-makers, but addressing current methodological gaps is a critical first step.

Suggested Citation

  • Alys McAlpine & Ligia Kiss & Cathy Zimmerman & Zaid Chalabi, 2021. "Agent-based modeling for migration and modern slavery research: a systematic review," Journal of Computational Social Science, Springer, vol. 4(1), pages 243-332, May.
    • Handle: RePEc:spr:jcsosc:v:4:y:2021:i:1:d:10.1007_s42001-020-00076-7
    DOI: 10.1007/s42001-020-00076-7
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    1. Cathy Zimmerman & Ligia Kiss, 2017. "Human trafficking and exploitation: A global health concern," PLOS Medicine, Public Library of Science, vol. 14(11), pages 1-11, November.
    2. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.
    3. Cathy Zimmerman & Ligia Kiss & Mazeda Hossain, 2011. "Migration and Health: A Framework for 21st Century Policy-Making," Working Papers id:4174, eSocialSciences.
    4. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    5. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
    6. Nianogo, R.A. & Arah, O.A., 2015. "Agent-based modeling of noncommunicable diseases: A systematic review," American Journal of Public Health, American Public Health Association, vol. 105(3), pages 20-31.
    7. Nayef Alghais & David Pullar & Elin Charles-Edwards, 2018. "Accounting for peoples’ preferences in establishing new cities: A spatial model of population migration in Kuwait," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-31, December.
    8. Hassani-Mahmooei, Behrooz & Parris, Brett W., 2012. "Climate change and internal migration patterns in Bangladesh: an agent-based model," Environment and Development Economics, Cambridge University Press, vol. 17(6), pages 763-780, December.
    9. Miranda Simon, 2019. "Path Dependency and Adaptation: The Effects of Policy on Migration Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(2), pages 1-2.
    10. James Anderson & Alok Chaturvedi & Mike Cibulskis, 2007. "Simulation tools for developing policies for complex systems: Modeling the health and safety of refugee communities," Health Care Management Science, Springer, vol. 10(4), pages 331-339, December.
    11. Atesmachew Hailegiorgis & Andrew Crooks & Claudio Cioffi-Revilla, 2018. "An Agent-Based Model of Rural Households’ Adaptation to Climate Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(4), pages 1-4.
    12. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    13. Ali Naqvi & Miriam Rehm, 2014. "A multi-agent model of a low income economy: simulating the distributional effects of natural disasters," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 275-309, October.
    14. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    15. Cathy Zimmerman & Ligia Kiss & Mazeda Hossain, 2011. "Migration and Health: A Framework for 21st Century Policy-Making," PLOS Medicine, Public Library of Science, vol. 8(5), pages 1-7, May.
    16. García-Díaz, César & Moreno-Monroy, Ana I., 2012. "Social influence, agent heterogeneity and the emergence of the urban informal sector," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1563-1574.
    17. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    18. Dominic R. Kniveton & Christopher D. Smith & Richard Black, 2012. "Emerging migration flows in a changing climate in dryland Africa," Nature Climate Change, Nature, vol. 2(6), pages 444-447, June.
    19. Jule Thober & Birgit Müller & Jürgen Groeneveld & Volker Grimm, 2017. "Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-8.
    20. Naqvi, Asjad, 2017. "Deep Impact: Geo-Simulations as a Policy Toolkit for Natural Disasters," World Development, Elsevier, vol. 99(C), pages 395-418.
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