Food and Water Systems in the Intelligent Age 2024

In a world facing increasing food security and water sustainability challenges, the food-water stack emerges as a transformative tool designed to drive impactful change through better decision- making. As these challenges intensify, the need for accurate data and coordination in food and water systems is more urgent than ever. The inefficiencies caused by fragmented decision-making and a lack of reliable data prompt delays that affect the lives of millions of people. This tool fills the gap by enabling real-time data integration and predictive analytics. The primary goal of the stack is to empower stakeholders with actionable insights. By aggregating and analysing data from diverse sources, the stack offers a comprehensive view of the food and water systems, enabling more informed and timely decision-making. Establishing a common data framework, the stack can enhance coordination among stakeholders across the food and water value chain, from farmers to policy-makers. Users can simulate various scenarios, such as the effects of climate change or policy shifts, to better anticipate outcomes and prepare effective responses. The stack delivers insights and collective analysis offering customized recommendations based on specific roles within the system. A food-water stack for data-driven decision-making At scale, the food-water stack enables better decision-making and long-term sustainability, elevating water’s role as an impact multiplier on the climate agenda. 1 What is a data-stack-based approach? BOX 2 Globally, there are few reliable, evidence-based frameworks that can inform decision-makers on the interlinked influence of food and water security. A stack-based approach (structured layering and integration of multiple data sources for collective analysis) can enable cooperation among a diverse set of stakeholders while spurring innovation. The stack allows decision-makers from different parts of the food-water value chain to visualize and synthesize diverse layers of information and analysis. Data and analysis can be conducted and used by many sectors, including but not limited to farming and production, investment and finance, the private sector, and policy-makers. Ultimately, the stack can hold a full body of information and – depending on the need – specific elements can be activated. In addition, as technology evolves, these stacks can enable data privacy protocols, including predictive analysis and other reasoning tools. The stack also allows for innovation and flexibility within the different layers (i.e. refinement and addition of data in the data layer, inclusion of new technology in the innovation layer, or application of a new tool in the decision and intelligence layer, as seen in Figure 1). Food and Water Systems in the Intelligent Age 6