IDEAS home Printed from https://ideas.repec.org/a/spr/jcsosc/v4y2021i1d10.1007_s42001-020-00076-7.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42001-020-00076-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42001-020-00076-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Cathy Zimmerman & Ligia Kiss & Mazeda Hossain, 2011. "Migration and Health: A Framework for 21st Century Policy-Making," Working Papers id:4174, eSocialSciences.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guerrero, Omar A. & Guariso, Daniele & Castañeda, Gonzalo, 2023. "Aid effectiveness in sustainable development: A multidimensional approach," World Development, Elsevier, vol. 168(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Bourceret, Amélie & Amblard, Laurence & Mathias, Jean-Denis, 2022. "Adapting the governance of social–ecological systems to behavioural dynamics: An agent-based model for water quality management using the theory of planned behaviour," Ecological Economics, Elsevier, vol. 194(C).
    3. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Noeldeke, Beatrice & Winter, Etti & Ntawuhiganayo, Elisée Bahati, 2022. "Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda," Ecological Economics, Elsevier, vol. 200(C).
    5. Marc Deissenroth & Martin Klein & Kristina Nienhaus & Matthias Reeg, 2017. "Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration," Complexity, Hindawi, vol. 2017, pages 1-24, December.
    6. Marcello Marini & Ndaona Chokani & Reza S. Abhari, 2019. "Agent-Based Model Analysis of Impact of Immigration on Switzerland’s Social Security," Journal of International Migration and Integration, Springer, vol. 20(3), pages 787-808, August.
    7. Asjad Naqvi & Franziska Gaupp & Stefan Hochrainer-Stigler, 2020. "The risk and consequences of multiple breadbasket failures: an integrated copula and multilayer agent-based modeling approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 727-754, September.
    8. Corie Gray & Gemma Crawford & Bruce Maycock & Roanna Lobo, 2021. "Socioecological Factors Influencing Sexual Health Experiences and Health Outcomes of Migrant Asian Women Living in ‘Western’ High-Income Countries: A Systematic Review," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
    9. Furkan Gursoy & Bertan Badur, 2021. "An Agent-Based Modelling Approach to Brain Drain," Papers 2103.03234, arXiv.org, revised Mar 2021.
    10. Florian Chávez-Juárez, 2017. "On the Role of Agent-based Modeling in the Theory of Development Economics," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 713-730, August.
    11. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    12. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Jau-Hung Yu & Bin-Tzong Chie, 2024. "Interplay and Implications of Urban Renewal under Dual Laws - An Agent-Based Simulation," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(5), pages 1-1.
    14. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    15. Anshuka Anshuka & Floris F. Ogtrop & David Sanderson & Simone Z. Leao, 2022. "A systematic review of agent-based model for flood risk management and assessment using the ODD protocol," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2739-2771, July.
    16. 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.
    17. Huber, Robert & Bakker, Martha & Balmann, Alfons & Berger, Thomas & Bithell, Mike & Brown, Calum & Grêt-Regamey, Adrienne & Xiong, Hang & Le, Quang Bao & Mack, Gabriele & Meyfroidt, Patrick & Millingt, 2018. "Representation of decision-making in European agricultural agent-based models," Agricultural Systems, Elsevier, vol. 167(C), pages 143-160.
    18. George Van Voorn & Geerten Hengeveld & Jan Verhagen, 2020. "An agent based model representation to assess resilience and efficiency of food supply chains," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-27, November.
    19. Xiang Kang & Mingxi Du & Siqin Wang & Haifeng Du, 2022. "Exploring the Effect of Health on Migrants’ Social Integration in China," IJERPH, MDPI, vol. 19(8), pages 1-20, April.
    20. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcsosc:v:4:y:2021:i:1:d:10.1007_s42001-020-00076-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.