CCRI Seminar 16/10/25 - Modelling Systemic Shifts: A Scenario-Based Modelling of Fishers’ Wellbeing

CCRI Seminar 16/10/25 - Modelling Systemic Shifts: A Scenario-Based Modelling of Fishers’ Wellbeing

🎙 Countryside and Community Research Institute 👥 88 📅 October 17, 2025 ⏱ 56 min 👁 13 📄 original study 🧭 2026-08-16
Available in: English (current) Français

Keywords

fuzzy cognitive mapsscenario analysisstakeholder engagementwellbeing economysystem dynamics

Summary

This seminar presents a research project on modelling fishers’ wellbeing in Scotland using a participatory, systems-based approach. The study employs fuzzy cognitive mapping to capture the complex interactions among economic, social, environmental, and governance factors affecting wellbeing. Stakeholders from various groups (fishers, researchers, representatives, civil society, government) were engaged to co-create individual cognitive maps, which were aggregated into a community map. Network analysis and modularity classification identified clusters of indicators. Scenarios were co-designed with stakeholders, including baseline, economic growth, environmental protection, and holistic wellbeing scenarios. These were simulated using Mental Modeller software with fuzzy logic. The results show that the holistic scenario leads to improvements in job satisfaction and quality of life, unlike the economic and environmental scenarios, which cause declines in these indicators. The research highlights the importance of a holistic approach to fisheries management and provides insights into systemic shifts and leverage points.

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Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides valuable insights into the complexity of fishers’ wellbeing and demonstrates a rigorous participatory methodology. The argumentation is solid, based on empirical data from stakeholder engagement and network analysis. The use of fuzzy cognitive maps and scenario simulation is well-justified and clearly explained. The comparison of scenarios reveals non-linear dynamics and trade-offs, which are important for policy-making. The study contributes to the literature on wellbeing in fisheries and systems thinking.

Scientific Rigor, Source Quality, Title Accuracy

The research appears methodologically sound, with a clear description of the steps and stakeholder involvement. The presentation mentions a published paper, but no specific citation is given. The title accurately reflects the content. The seminar format limits the depth of methodological details, but the overall approach is credible. The lack of explicit sources in the video is a minor weakness, but the methodology is transparent.

152 words

Title / Content Match

The title accurately reflects the content, which focuses on scenario-based modelling of fishers' wellbeing.

Quality & Reliability

8/10

The presentation is based on a structured research methodology, with clear steps and stakeholder engagement. The methods are well-described and the results are presented with quantitative outputs. The research appears to be part of an ongoing academic project, with a publication mentioned. However, the presentation is a seminar talk, not a peer-reviewed paper, and some details are not fully elaborated.

Key Moments

Cited Sources

  • No explicit sources cited in the video — The presenter mentions a published paper but does not provide a link or citation.

Concurring Sources

  • No concordant sources provided — No external sources were cited in the video.

Dissenting Sources

  • No discordant sources provided — No conflicting sources were mentioned.

Contribution & Novelties

The research offers a novel application of fuzzy cognitive mapping and scenario analysis to fishers’ wellbeing, emphasizing a participatory and holistic approach. It demonstrates how stakeholder engagement can inform system-level modelling and policy design. The comparison of scenarios highlights the potential benefits of a wellbeing economy approach over purely economic or environmental policies.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores in quantity and quality of information, with moderate technical level and high reliability. This indicates a well-structured and informative presentation, suitable for an academic audience.

Reliability 8/10