What sources of intelligence and methods can be used to strengthen our ability to predict and identify disruptions and risks to Scotland’s food chain?

Background

Scotland’s food system has evolved significantly since FSS was established in 2015, with environmental impacts, technological innovations in food production, new business models, dietary trends and wider food policies all driving transformation in the way our food is grown, processed and sold. Added to this, the disruptions to our agri-food supply chain resulting from geopolitical events, a changing climate and the COVID-19 pandemic have prompted action from government to prioritise food security and work with the industry on strategies for promoting a more resilient and sustainable food system for Scotland. Addressing these issues, whilst enabling everyone in Scotland to access a safe and healthy diet requires a systems thinking approach which recognises how the various stages of food production and consumption are interconnected and how they are influenced by social, economic, environmental, and political factors. The introduction of the Good Food Nation (Scotland) Act 2022 has been a particularly important milestone in that regard; providing a legislative basis for positive progress which will rely on effective collaboration across government to ensure new policies and initiatives for a better food system in Scotland are fully co-ordinated. FSS has a role to play in supporting government in achieving its ambition for a more sustainable, resilient and equitable food system, ensuring that there are no unintended consequences for food safety, standards and public health nutrition. This relies on evidence that helps us to predict and detect potential disruptions and emerging risks to our food chain and understand the opportunities and challenges that are associated with new food processing technologies, novel foods and changing diets.

Next steps

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Source

This question was published as part of the set of ARIs in this document:

ARI FOOD STANDARDS SCOTLAND

Research fields

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