SecureFood School: Transforming Food System Risk Science into Real-World Education
Food systems are becoming increasingly vulnerable to climate change, economic shocks, and geopolitical disruptions. This makes it necessary to increase resilience to sustain productivity, environmental performance, and long-term economic viability. Recent crises, such as the war in Ukraine and the COVID-19 pandemic, have demonstrated how swiftly shocks can propagate through food production, processing, logistics, and consumption systems. Indeed, disruptions to supply chains resulting from the pandemic, energy price volatility, and clashes between regions have highlighted structural flaws in food systems and their impact on food availability, safety, and stability. Strengthening food system resilience therefore requires not only technological innovation, but also an improved societal understanding of food system dynamics and risks.
Over the past decade, a number of initiatives have emerged to develop analytical tools for monitoring and managing food system risks. Digital tools such as digital twins, early warning systems, and data-based modeling enable researchers and policymakers to identify vulnerabilities, simulate disturbances, and evaluate potential actions. However, the analytical outputs are usually confined to specific research environments. Translating scientific insights into formats that are legible and usable by wider stakeholder groups remains a challenge, but is essential for enhancing food system resilience.
Education plays a central role in addressing this gap. Traditional educational approaches often focus on conveying knowledge rather than competencies in analyzing complex systems and responding to uncertainty. However, food systems are tightly knit socio-ecological systems where environmental factors, economic incentives, governance systems, and consumer behavior influence one another mutually. These interactions are important for anticipating risks and designing solutions. Therefore, educational approaches based on systems thinking and emphasizing collaborative learning and problem-focused experimentation might be beneficial in developing individuals' and communities' capacities to tackle problems related to the food system.
The SecureFood School was created to bring this concept to life. The initiative is a central tenet of the Horizon Europe project SecureFood, which is an integrated approach to enhance food systems resilience by advocating for food security and supporting an uninterrupted food supply. The SecureFood project develops analytical tools to support the identification of risks and the response to crises across food systems, including aspects such as digital twins of supply chains, early warning systems, data-driven risk assessment models, and a resilience governance framework. Though effective at offering useful insights to policymakers and actors, these aspects can be difficult for broader audiences to interpret.
The SecureFood School addresses this challenge by developing project outputs into educational formats, inviting learners to explore the food system and how to cope with it. The SecureFood School is based on the Learning for Change (L4C) concept, an approach that views education not just as a tool for transferring information but also as a means of equipping learners with the ability to address real-world problems and contribute to systemic change. Regarding food systems, L4C encourages learners to consider how food production, processing, distribution, and consumption are interconnected and how disruption can affect these connections. Through collaborative learning and experimental coursework, participants develop the ability to critically assess risks and explore alternative responses.
A central objective of the SecureFood School is to foster systems thinking. The structure of food systems, the actors involved, and the processes at play are examined using simplified models for each case. Learners can identify such disruptions, ranging from extreme weather patterns and logistical breakdowns to market instability, as demonstrated in models showing how the supply chain is disrupted and food availability is impacted. By examining these interactions, students can understand how local experiences and choices can influence the responses of larger systems.
The program operates through a hybrid learning model that combines classroom activities, digital learning environments, and community-based experimentation. A central, Moodle-based digital platform functions as the core knowledge hub for the SecureFood School (Figure 1). The platform hosts thematic modules on food system resilience, interactive materials explaining risk drivers, and practical exercises designed to stimulate critical reflection and collaborative problem-solving.
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The selection of Moodle as the core learning platform followed a systematic evaluation of alternative digital learning architectures. Moodle provides an open-source, scalable, and modular environment that supports collaborative learning and stakeholder interaction. Tools such as forums, wikis, group workspaces, and interactive assignments allow participants to exchange ideas, document learning experiences, and provide feedback on educational materials. These features align closely with the participatory principles of the L4C approach.
Figure 1. A central, Moodle-based digital platform functions as the core knowledge hub for the SecureFood School (Image credit: SecureFood project)
Image courtesy of the SecureFood projectAt the same time, Moodle is not used as a standalone system. The SecureFood School adopts a hybrid digital architecture in which Moodle serves as the central learning hub integrated with specialized external tools. Data visualization dashboards enable learners to explore simplified outputs from SecureFood modeling tools and examine key drivers of food system risk. Collaborative platforms such as digital whiteboards support co-creation and collective interpretation of data. This integration allows the program to combine structured educational pathways with interactive exploration of food system dynamics.
Another defining feature of the SecureFood School is its emphasis on experiential learning. Instead of focusing exclusively on theoretical knowledge, the program encourages participants to design and implement small-scale initiatives within their local environments. These initiatives translate analytical insights into practical action and enable learners to test resilience strategies in real-world settings. Examples of such initiatives include projects aimed at reducing food waste in school cafeterias, improving transparency in food sourcing, strengthening local procurement networks, or raising awareness of food system vulnerabilities within communities. Through these activities, participants collect data, evaluate outcomes, and reflect on the effectiveness of different strategies.
The educational resources used in the SecureFood School draw on a wide range of project outputs and communication materials. These include simplified visualizations of food system risks, educational modules based on modeling results, resilience governance guidelines, and toolkits supporting school-based innovation projects. The materials are designed to be adaptable to different age groups and stakeholder contexts, enabling the program to reach diverse audiences.
The SecureFood School has two main objectives. First, it aims to increase societal understanding of food system resilience by translating complex analytical results into accessible educational resources. In doing so, the initiative helps to bridge the gap between scientific knowledge and public awareness of the risks associated with the food system. Second, the program seeks to develop a generation of informed agents of change who can contribute to the creation of resilient and sustainable food systems. Through systems thinking, collaboration, and problem-solving activities, participants develop the skills needed to address food system challenges within their communities.
By embedding the Learning for Change approach within a scalable digital environment, the SecureFood School shows how the results of complex scientific projects can be turned into practical educational tools. The platform integrates technological innovation with participatory learning processes that encourage reflection, experimentation, and collaboration. Ultimately, the initiative strengthens societal adaptive capacity by enabling learners to anticipate, understand, and respond to disruptions affecting food systems more effectively.
In a context where food systems are becoming increasingly complex and exposed to multiple risks, initiatives such as the SecureFood School emphasize the importance of connecting scientific innovation with education and societal engagement. By translating risk intelligence into accessible learning experiences, the program supports the development of food systems that are more resilient, adaptive, and capable of maintaining food availability and safety in an increasingly uncertain environment.
