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

Schlüter, M., Wijermans, N., González-Mon, B., Lindkvist, E., Orach, K., Prawitz, H., Martin, R., Martínez-Peña, R., Pellowe, K. E., Sanga, U. (2025): Navigating the space between empirics and theory – Empirically stylized modelling for theorising social-ecological phenomena. - Environmental Modelling and Software, 189, 106444.
https://doi.org/10.1016/j.envsoft.2025.106444

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 Creators:
Schlüter, Maja1, Author
Wijermans, Nanda1, Author
González-Mon, Blanca1, Author
Lindkvist, Emilie1, Author
Orach, Kirill1, Author
Prawitz, Hannah2, Author              
Martin, Romina1, Author
Martínez-Peña, Rodrigo1, Author
Pellowe, Kara E.1, Author
Sanga, Udita1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 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.

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Language(s): eng - English
 Dates: 2025-03-272025-03-272025-05-01
 Publication Status: Finally published
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.envsoft.2025.106444
PIKDOMAIN: Earth Resilience Science Unit - ERSU
PIKDOMAIN: RD1 - Earth System Analysis
Organisational keyword: RD1 - Earth System Analysis
Organisational keyword: Earth Resilience Science Unit - ERSU
Model / method: Agent-based Models
Model / method: Qualitative Methods
Model / method: Quantitative Methods
Research topic keyword: Sustainable Development
MDB-ID: pending
OATYPE: Hybrid Open Access
 Degree: -

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Title: Environmental Modelling and Software
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 189 Sequence Number: 106444 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals127
Publisher: Elsevier