IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2013-140-3.html
   My bibliography  Save this article

Structuring Qualitative Data for Agent-Based Modelling

Author

Abstract

Using ethnography to build agent-based models may result in more empirically grounded simulations. Our study on innovation practice and culture in the Westland horticulture sector served to explore what information and data from ethnographic analysis could be used in models and how. MAIA, a framework for agent-based model development of social systems, is our starting point for structuring and translating said knowledge into a model. The data that was collected through an ethnographic process served as input to the agent-based model. We also used the theoretical analysis performed on the data to define outcome variables for the simulation. We conclude by proposing an initial methodology that describes the use of ethnography in modelling.

Suggested Citation

  • Amineh Ghorbani & Gerard Dijkema & Noortje Schrauwen, 2015. "Structuring Qualitative Data for Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(1), pages 1-2.
    • Handle: RePEc:jas:jasssj:2013-140-3
    as

    Download full text from publisher

    File URL: https://www.jasss.org/18/1/2/2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Crawford, Sue E. S. & Ostrom, Elinor, 1995. "A Grammar of Institutions," American Political Science Review, Cambridge University Press, vol. 89(3), pages 582-600, September.
    2. Amineh Ghorbani & Pieter Bots & Virginia Dignum & Gerard Dijkema, 2013. "MAIA: a Framework for Developing Agent-Based Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-9.
    3. Lu Yang & Nigel Gilbert, 2008. "Getting Away From Numbers: Using Qualitative Observation For Agent-Based Modeling," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 175-185.
    4. J. Kasmire & Igor Nikolic & Gerard Dijkema, 2013. "Evolving Greenhouses: An Agent-Based Model of Universal Darwinism in Greenhouse Horticulture," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(4), pages 1-7.
    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. Ahmadreza Asgharpourmasouleh & Atiye Sadeghi & Ali Yousofi, 2017. "A Grounded Agent-Based Model of Common Good Production in a Residential Complex: Applying Artificial Experiments," SAGE Open, , vol. 7(4), pages 21582440177, October.
    2. Anna Borawska & Malgorzata Latuszynska, 2020. "Incorporating Neuroscience Data into Agent-Based Simulation Models of Buyer Behavior," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1197-1212.
    3. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    4. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2019. "A review of designing empirically grounded agent-based models of innovation diffusion: Development process, conceptual foundation and research agenda," Contributions of the Institute for Infrastructure and Resources Management 01/2019, University of Leipzig, Institute for Infrastructure and Resources Management.

    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. Moncada, J.A. & Lukszo, Z. & Junginger, M. & Faaij, A. & Weijnen, M., 2017. "A conceptual framework for the analysis of the effect of institutions on biofuel supply chains," Applied Energy, Elsevier, vol. 185(P1), pages 895-915.
    2. Moncada, J.A. & Junginger, M. & Lukszo, Z. & Faaij, A. & Weijnen, M., 2017. "Exploring path dependence, policy interactions, and actor behavior in the German biodiesel supply chain," Applied Energy, Elsevier, vol. 195(C), pages 370-381.
    3. Woi Sok Oh & David J Yu & Rachata Muneepeerakul, 2021. "Efficiency-fairness trade-offs in evacuation management of urban floods: The effects of the shelter capacity and zone prioritization," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-15, June.
    4. Frimpong Boamah, Emmanuel, 2018. "Constitutional economics of Ghana’s decentralization," World Development, Elsevier, vol. 110(C), pages 256-267.
    5. Röttgers, Dirk, 2016. "Conditional cooperation, context and why strong rules work — A Namibian common-pool resource experiment," Ecological Economics, Elsevier, vol. 129(C), pages 21-31.
    6. E. J. Bird, "undated". "Exploring the stigma of food stamps," Institute for Research on Poverty Discussion Papers 1097-96, University of Wisconsin Institute for Research on Poverty.
    7. David P Carter & Christopher M Weible & Saba N Siddiki & Xavier Basurto, 2016. "Integrating core concepts from the institutional analysis and development framework for the systematic analysis of policy designs: An illustration from the US National Organic Program regulation," Journal of Theoretical Politics, , vol. 28(1), pages 159-185, January.
    8. Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    9. Saba Siddiki & Xavier Basurto & Christopher M. Weible, 2012. "Using the institutional grammar tool to understand regulatory compliance: The case of Colorado aquaculture," Regulation & Governance, John Wiley & Sons, vol. 6(2), pages 167-188, June.
    10. Adam Martin & Matias Petersen, 2019. "Poverty Alleviation as an Economic Problem," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 43(1), pages 205-221.
    11. Jia He & Miao Ma & Yuxuan Zhou & Miaoke Wang, 2023. "What We Have Learned about the Characteristics and Differences of Disaster Information Behavior in Social Media—A Case Study of the 7.20 Henan Heavy Rain Flood Disaster," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    12. Fernando Filgueiras & Pedro Palotti & Graziella G. Testa, 2023. "Complexing Governance Styles: Connecting Politics and Policy in Governance Theories," SAGE Open, , vol. 13(1), pages 21582440231, March.
    13. Ahmadreza Asgharpourmasouleh & Atiye Sadeghi & Ali Yousofi, 2017. "A Grounded Agent-Based Model of Common Good Production in a Residential Complex: Applying Artificial Experiments," SAGE Open, , vol. 7(4), pages 21582440177, October.
    14. Gomes, Sharlene L. & Hermans, Leon M. & Thissen, Wil A.H., 2018. "Extending community operational research to address institutional aspects of societal problems: Experiences from peri-urban Bangladesh," European Journal of Operational Research, Elsevier, vol. 268(3), pages 904-917.
    15. Elizabeth Costenbader & Seth Zissette & Andres Martinez & Katherine LeMasters & Nana Apenem Dagadu & Prabu Deepan & Bryan Shaw, 2019. "Getting to intent: Are social norms influencing intentions to use modern contraception in the DRC?," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-18, July.
    16. Michiel A. Heldeweg, 2017. "Normative Alignment, Institutional Resilience and Shifts in Legal Governance of the Energy Transition," Sustainability, MDPI, vol. 9(7), pages 1-34, July.
    17. Biarnès, Anne & Bailly, Jean-Stéphane & Mekki, Insaf & Ferchichi, Intissar, 2021. "Land use mosaics in Mediterranean rainfed agricultural areas as an indicator of collective crop successions: Insights from a land use time series study conducted in Cap Bon, Tunisia," Agricultural Systems, Elsevier, vol. 194(C).
    18. Christopher Weible & David Carter, 2015. "The composition of policy change: comparing Colorado’s 1977 and 2006 smoking bans," Policy Sciences, Springer;Society of Policy Sciences, vol. 48(2), pages 207-231, June.
    19. Dunajevas Eugenijus & Skučienė Daiva, 2016. "Mandatory Pension System and Redistribution: The Comparative Analysis of Institutions in Baltic States," Central European Journal of Public Policy, Sciendo, vol. 10(2), pages 16-29, December.
    20. Xi Zhao & Yuming Liu & Wenchao Jiang & Dongri Wei, 2023. "Study on the Factors Influencing and Mechanisms Shaping the Institutional Resilience of Mega Railway Construction Projects," Sustainability, MDPI, vol. 15(10), pages 1-17, May.

    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:jas:jasssj:2013-140-3. 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: Francesco Renzini (email available below). General contact details of provider: .

    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.