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Stories, simulations and narratives: Collaboratively exploring food security and agricultural innovation in sub-Saharan Africa
Stockholm University, Faculty of Science, Stockholm Resilience Centre. Tufts University, United States.ORCID iD: 0000-0003-0552-4797
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0002-7780-1039
Number of Authors: 22025 (English)In: Agricultural Systems, ISSN 0308-521X, E-ISSN 1873-2267, Vol. 224, article id 104241Article in journal (Refereed) Published
Abstract [en]

CONTEXT

Food insecurity remains a global challenge, with differing narratives shaping interventions in sub-Saharan Africa. The “crisis narrative,” favored by aid agencies, links insecurity to production issues, advocating agricultural innovations. Meanwhile, the “chronic poverty narrative,” reflected in African policy, ties insecurity to farmer poverty, emphasizing livelihood and economic solutions. Narrative subjectivity can lead to uncritical privileging of certain understandings and solutions, necessitating a critical exploration of contexts, causes, and solutions to food insecurity in the region. Our research addresses the need to understand and illustrate the complex problem of food insecurity in the region.

OBJECTIVE

This study employs a mixed-method approach, combining collaborative storytelling, model exploration, and scenario analysis, to investigate food security, agricultural innovation, and climate adaptation in Mali, West Africa.

METHODS

We developed a three-stage methodology represented as a story arc: beginning (exposition and problem statement), development (action), and completion (solution), providing a cohesive narrative framework. The arc unfolds with the story exposition introducing characters, plot, and problem statement. The story development includes participant-led model simulations and modeler-led scenario analysis. The story completion integrates insights from model simulations and scenario analysis to develop the collective understanding of the narratives surrounding food (in)security.

RESULTS AND CONCLUSIONS

This study generates several insights that highlight the inherent complexities within agricultural innovation systems that emerge from the non-linear dynamic interaction of actors operating across scales that contribute to food insecurity. We redirect the focus of narratives of causes (and subsequent solutions) of food insecurity from solely climate-driven production losses and poverty to the complex interplay of climate, agroecology, innovation networks, risk perception, innovation beliefs, desires, and knowledge transmission. A shared narrative emerges, characterizing food security as a complex adaptive system influenced by factors such as climate-induced production variability, agroecological heterogeneity, network structures and climate risk perception. The study underscores the methodological value of collaborative storytelling and model simulation to enable a structured and reflective exploration of these complex systems. By transforming participants into co-creators of knowledge, this methodology fosters systems thinking, turning abstract systemic relationships into tangible, actionable insights.

SIGNIFICANCE

Our study demonstrates the need to critically reevaluate the role of narratives in shaping agricultural innovation systems and their capacity to transform food systems toward enhanced sustainability and food security. Our participatory and systems-driven approach offers a pathway to more adaptive and effective interventions in the face of complex, dynamic challenges.

 

Place, publisher, year, edition, pages
2025. Vol. 224, article id 104241
Keywords [en]
Agent-based models, Food security, Narratives, Storytelling, Sub-Saharan Africa
National Category
Peace and Conflict Studies Development Studies
Identifiers
URN: urn:nbn:se:su:diva-241536DOI: 10.1016/j.agsy.2024.104241ISI: 001392012500001Scopus ID: 2-s2.0-85212435775OAI: oai:DiVA.org:su-241536DiVA, id: diva2:1949365
Available from: 2025-04-02 Created: 2025-04-02 Last updated: 2025-04-02Bibliographically approved

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Sanga, UditaSchlüter, Maja

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