Constructing the Coleman boat – Mechanism-based theorising in socio-ecological research DOI Open Access
Rodrigo Martínez Peña, Petri Ylikoski

Published: Dec. 14, 2023

Like in many other fields, mechanism-based theorising has become increasingly popular socio-ecological research. However, calls for explanations and middle-range have remained relatively abstract. In the social sciences, Coleman diagram provides heuristic aid figuring out thorny micro-macro issues. The diagram, understood as a series of analytical questions, helps to connect macro processes agents’ behaviours thus an understanding how effects get generated. This paper argues that Colemans can be fruitful advancing also social-ecological Utilising updated version we show incorporate ecological mechanisms into explanations. systematically explores could intertwine with each illustrates them brief examples. It introduces concepts action situation, mental states, agent capacities dissect interface between agency change. Finally, discusses integrate various forms causal complexity. ecologically expanded Coleman's contributes both research theory. concrete tool integrating by utilising idea explanation, but it demonstrates mechanisms-based is viable avenue developing more ambitious interdisciplinary theories about significant challenges people ecosystems face.

Language: Английский

Critical sustainability science: advancing sustainability transformations DOI Creative Commons
Stefano B. Longo, Ellinor Isgren, Michael Carolan

et al.

Sustainability Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Language: Английский

Citations

0
Navigating the space between empirics and theory – Empirically stylized modelling for theorising social-ecological phenomena DOI Creative Commons
Maja Schlüter‬, Nanda Wijermans, Blanca González‐Mon

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106444 - 106444

Published: March 1, 2025

Language: Английский

Citations

0
ISO 50001 based energy management system: a bibliometric perspective DOI

Marlina Pandin,

Sik Sumaedi, Aris Yaman

et al.

International Journal of Energy Sector Management, Journal Year: 2024, Volume and Issue: 18(6), P. 1938 - 1963

Published: Feb. 16, 2024

Purpose This paper aims to analyse the bibliometric characteristics of ISO 50001 publication, map state art research topic and identify future issues. Design/methodology/approach is a study. The data were collected from Scopus. Both performance science mapping analysis performed. Findings results showed top author, country publications. There are four author collaboration clusters five clusters. Eight themes mapped into quadrants based on density centrality. coupling six Finally, issues mapped. implications discussed. Practical gave several for researchers, practitioners public policymakers. For provides that can be followed up by research. practitioners, applied tools methods assist implementation 50001-based energy management have been developed. policymakers, offered knowledge structure used in policymaking development. cluster trace scientific information needed as foundation policy. Originality/value Many studies However, search main academic databases, there no study topic. first publication. takes holistic approach combining includes elaborated thematic evolution analysis.

Language: Английский

Citations

3
Disentangling the entangled in productive ways: modelling social–ecological systems from a process-relational perspective DOI Creative Commons
Maja Schlüter‬, Tilman Hertz, Anja Klein

et al.

Sustainability Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Language: Английский

Citations

0
Review of counterfactual land change modeling for causal inference in land system science DOI Creative Commons
Nicholas R. Magliocca,

Pratik Dhungana,

Carter D. Sink

et al.

Journal of Land Use Science, Journal Year: 2023, Volume and Issue: 18(1), P. 1 - 24

Published: Feb. 3, 2023

Land change models are important tools for land systems analysis, but their potential causal inference using a counterfactual approach remains underdeveloped. This paper reviews the state of modeling with intent inference. All reviewed studies promoted value creating 'counterfactual worlds' via simulation to untangle complex causation in order assess effects specific interventions and/or historical events. Several used analysis challenge prevailing assumptions motivating past policy interventions, while others isolated spatial heterogeneity effects. The review also highlights methodological limitations and proposes best practices inference, such as ensemble approaches multiple calibration-validation iterations. Counterfactual is still underdeveloped system science, it holds promise advancing some most challenging study phenomenon.

Language: Английский

Citations

9
From situated knowledges to situated modelling: a relational framework for simulation modelling DOI Creative Commons
Anja Klein, Krystin Unverzagt, Rossella Alba

et al.

Ecosystems and People, Journal Year: 2024, Volume and Issue: 20(1)

Published: July 3, 2024

In this paper we extend the use of a relational approach to simulation modelling, widely used knowledge practice in sustainability science. Among modellers, there is awareness that model results can only be interpreted view assumptions inform construction and analysis, but less systematic questioning those assumptions. Moreover, current methodological discussions tend focus on integrating social ecological dynamics or diverse knowledges data within model. Yet choices regarding types structure, handling, interpretation validation are not purely epistemic. They entangled with values, contexts production use, power relations, pragmatic considerations. Situated Modelling extends understanding world scientific modelling itself order enable interrogation these research social-ecological transformations relationally. To make tangible situatedness build existing practices describe three distinct approaches. We then suggest four guiding principles for Modelling: 1. attending apparatus socially materially embedded produced by e.g. infrastructures, ways thinking; 2. considering how agency distributed between model, world, data, modeller construction; 3. creating heterogenous collectives which together occupy formerly individualised subject position; 4. using agonism as an epistemic virtue retain work significant differentiations throughout process.

Language: Английский

Citations

3
Revisiting the sustainability science research agenda DOI Creative Commons
Mesfin Sahle, Shruti Lahoti, Soyoung Lee

et al.

Sustainability Science, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Identifying research gaps and priorities is paramount to advance sustainability science contribute a sustainable future. This editorial contributes this effort by contemplating the agenda aligning it with recent changes in global dynamics. Drawing on consultations board members of Sustainability Science journal review relevant literature, we identified 12 key topics. These topics are interpreted within strategic framework encompassing three themes: (1) goals that drive science, (2) approaches attain these goals, (3) tools research. In so doing, emphasizes development extending beyond 2030, fostering equity justice, tackling issues related power dynamics geopolitical conflicts. It underscores significance attaining particular, theorizing, co-production knowledge action, clarity conceptual descriptions, developing systems-oriented analytical frameworks. Additionally, highlights value place-based approaches, learning from significant systemic shocks, nurturing inner transformations. also underlines need explore emerging technologies data-intensive methodologies as tool address concerns. The systematic contemplation presented piece aims invoke further discussion among researchers practitioners about fresh promotes integration nature society.

Language: Английский

Citations

3
Intersecting security, equity, and sustainability for transformation in the Anthropocene DOI Creative Commons
Nicholas R. Magliocca

Anthropocene, Journal Year: 2023, Volume and Issue: 43, P. 100396 - 100396

Published: June 26, 2023

Transformative rather than incremental adaptation will be necessary to keep pace with rapidly changing social-ecological systems characteristic of the Anthropocene. Alongside mounting urgency for transformative adaptation, there is also growing recognition that it no longer possible achieve sustainable transformation without addressing security and equity concerns. Thus, dimensions security, equity, sustainability (SES) are increasingly intersected in research practice. However, interpretations SES their intersections vary widely across disciplines, policy sectors, problem domains, knowledge fragmented. To navigate this vast body knowledge, a conceptual framework presented that: 1) integrates set guiding critical questions defining assessing different framings each dimension; 2) identifies modes theorizing intersections; 3) relates previous two elements leverage points targeted, either theoretically or practice, change. Nine prominent integrated concepts associated case studies were identified explicitly addressed among all dimensions. Integrated diversity points, but only mixed epistemological methodological approaches sufficiently provide explanatory insight into while supporting science-based change-making. Potential risks ambiguity around needs future highlighted. Optimistically, scholarship has moved beyond simply stating importance focusing on causal interactions dimensions, which leading compelling new blends action-oriented paradigms pursue transformation.

Language: Английский

Citations

5
Participation and co-theorising: How stakeholder interests and scientific outputs clash in the Horizon 2020 multi-actor approach DOI Creative Commons
Daniël van der Velden, Lies Debruyne, Laurens Klerkx

et al.

NJAS Impact in Agricultural and Life Sciences, Journal Year: 2024, Volume and Issue: 96(1)

Published: Nov. 18, 2024

The multi-actor approach in the EU's Horizon 2020 program has seen use across a large number of research projects. However, there remain questions about extent and depth participation that is achieved these projects, how it may enable joint production scientific theory next to readily applicable practical knowledge. This article aims explore latter question by focusing on potential such co-theorising, understood as involvement stakeholders producing outputs. We analyse researchers involved this project view stakeholders, they deal with tensions participation, are resolved. Through 17 semi-structured interviews project's Living Labs we show between interests requirements interests. findings indicate focus including theorising comes at cost relevance stakeholder. To safeguard choose exclude discussion theoretical concepts from living labs. despite an initial belief co-theorising further outputs holds merit. Hence, purposefully prioritize thereby reducing for co-theorising. fact theories already need be defined proposal stage limit scope redefinition core concepts, make advancing together not well accommodated 2020. also bears Europe which follows similar approach.

Language: Английский

Citations

1
Learning from sticky variables in cross-case analyses of collaboration in social-ecological systems DOI Creative Commons
Aireona Bonnie Raschke, Jessica Cockburn, Paúl Cisneros

et al.

Ecosystems and People, Journal Year: 2023, Volume and Issue: 19(1)

Published: March 19, 2023

The importance of collaborative approaches to governing social-ecological systems (SES) towards more transformative outcomes is now widely acknowledged. Theoretical and meth- odological frameworks enable such collaborations are being developed across a range disciplines. Transdisciplinary emerging as key enabler potentially trans- formative in SES, particularly where these characterized by 'multiple multi- ples' (e.g. multiple scales, knowledge systems, etc.). A typical approach studying complex initiatives contexts comparative case study research, often relying on researchers embedded cases. In this approach, qualitative studies coded using predetermined variables (based ecological, social, features cases) comparison cross-case analysis. our experience, the process coding cases into quantitative analysis framework can be hampered what we term 'sticky variables', i.e. which difficult code for reasons related aspects intrinsic complexity systems. Based from geographic locations Global North South, identify sticky variables, elucidate their 'stickiness'. We propose several ways working with learning reflect theoretical, methodological reflexive transdisciplinary research collaborations. Moreover, suggest that might 'flags' interesting underlying factors influence collaboration. conclude drawing out recommendations practitioners confronted complexities nuances around world.

Language: Английский

Citations

3