Navigating the space between empirics and theory – Empirically stylized modelling for theorising social-ecological phenomena

The potential of agent-based modelling (ABM) for developing theory has been recognized, yet methodologies are lacking. Building theories of social-ecological systems is challenging because of complex causality, context-dependence, and social-ecological interdependencies. We propose an approach that addresses these challenges through combining case-based empirical research with ABM in a collaborative modelling process. In-depth empirical research is essential for identifying a puzzle and potential explanations thereof, and for recognizing context and social-ecological interdependencies. Collaborative model building and analysis enables careful abstraction and reflection, and allows further exploring and testing the emerging theory in dynamic contexts, leading to better-grounded and transparent assumptions and theories. We call this approach BIM (Being In the Middle) and articulate it through three features: contextually embedded, collaboratively abductive and empirically stylized. We highlight how BIM facilitates new interdisciplinary avenues for discovering social-ecological interdependencies, discuss how it can be applied and what challenges and frontiers lie ahead. • We present the BIM approach for theorising social-ecological phenomena. • It combines case studies with modelling in a collaborative, abductive process. • Case research is critical for defining the phenomenon and developing an explanation. • Simulation is critical for exploring and testing the explanation in a dynamic SES. • The collaborative process of model building facilitates useful abstraction.

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Publication Details

Journal
Environmental Modelling & Software
Published
2025-03-30
DOI
https://doi.org/10.1016/j.envsoft.2025.106444
Citations
4
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
8.43

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article

Navigating the space between empirics and theory – Empirically stylized modelling for theorising social-ecological phenomena

Emilie Lindkvist, Udita Sanga, Rodrigo Martínez‐Peña, Nanda Wijermans et al.
4 citations
Environmental Modelling & Software
Complex Systems and Decision Making
8.43
article

Navigating the space between empirics and theory – Empirically stylized modelling for theorising social-ecological phenomena

Emilie Lindkvist, Udita Sanga, Rodrigo Martínez‐Peña, Nanda Wijermans, Maja Schlüter‬, Kara E. Pellowe, Romina Martin, Blanca González‐Mon, Kirill Orach, Hannah Prawitz
article en
4 citations

Abstract

The potential of agent-based modelling (ABM) for developing theory has been recognized, yet methodologies are lacking. Building theories of social-ecological systems is challenging because of complex causality, context-dependence, and social-ecological interdependencies. We propose an approach that addresses these challenges through combining case-based empirical research with ABM in a collaborative modelling process. In-depth empirical research is essential for identifying a puzzle and potential explanations thereof, and for recognizing context and social-ecological interdependencies. Collaborative model building and analysis enables careful abstraction and reflection, and allows further exploring and testing the emerging theory in dynamic contexts, leading to better-grounded and transparent assumptions and theories. We call this approach BIM (Being In the Middle) and articulate it through three features: contextually embedded, collaboratively abductive and empirically stylized. We highlight how BIM facilitates new interdisciplinary avenues for discovering social-ecological interdependencies, discuss how it can be applied and what challenges and frontiers lie ahead. • We present the BIM approach for theorising social-ecological phenomena. • It combines case studies with modelling in a collaborative, abductive process. • Case research is critical for defining the phenomenon and developing an explanation. • Simulation is critical for exploring and testing the explanation in a dynamic SES. • The collaborative process of model building facilitates useful abstraction.

Environmental Modelling & SoftwareVol. 189
Linköping University (SE), Tufts University (US), Stockholm Resilience Centre (SE), Stockholm University (SE), University of Potsdam (DE), Leibniz Association (DE), Max Planck Institute for the Science of Human History (DE), Potsdam Institute for Climate Impact Research (DE)
National Science Foundation, European Commission, Svenska Forskningsrådet Formas, Vetenskapsrådet, Marcus och Amalia Wallenbergs minnesfond, HORIZON EUROPE Framework Programme
Reduced inequalities
Openalex Percentile: Top 3%
Complex Systems and Decision Making
8.43
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