Completed Climate, Earth & Environment Food & Agriculture

Water Energy Food: WEFWEBs

In plain English

AI plain-English summary

The UK’s water, energy, and food systems are so tightly interwoven that a decision about one—like building a new reservoir or planting a biofuel crop—can silently squeeze the other two. This project, WEFWEBs, will map those hidden connections across local, regional, and national scales, using existing data, new sensors, social media analysis, and input from citizens and policymakers. No such comprehensive, multi-stakeholder map of the UK’s water-energy-food nexus currently exists. If successful, the maps will show how choices ripple through all three systems in space and time, revealing trade-offs that are now invisible. A farmer deciding to irrigate more land, for example, might see the energy cost and the downstream water impact in the same view. The project brings together physical scientists, economists, psychologists, and engineers to capture both the hard data—flows, resources, impacts—and the human perceptions that shape real-world decisions. The goal is not a single answer but a tool: a dynamic, spatial map that lets citizens and policymakers see the consequences of their choices before they make them.

View original technical description
The water, energy and food systems (the WEF) of the planet are under strain, sometimes described as the "perfect storm". They are all intrinsically linked and inter-dependent (the nexus), and humanity needs to plot a course to ensure sustainability and in an ideal world, equity of access to resources. The WEFWEBs project will examine the data and evidence for the water, energy and food systems and their interactions and dependencies within the local, regional and national environment. We need to maintain a balance between the three sometimes opposing directions that our primary systems are moving in to ensure that we safeguard our ecosystems, while still being able to live sustainably, in a world where demands are increasing. To study these systems and their dependencies and interactions, we need to bring together a multitude of different disciplines from the physical, environmental computational and mathematical sciences, with economics, social science, psychology and policy. Each of the three systems needs to be studied through the data that exists concerning their flows, resources and impacts, but also through individual and civic understanding of the systems. We will collect, synthesise and assimilate existing data, and models with new data that will be collected using new sensing technology and social media. We will examine each of the multiple dimensions of the nexus in three place based studies where we can explore and examine the outputs from data analysis, process and network models, and social perceptions. This project delivers multiple dynamic WEF nexus maps with spatial level spanning the dimensions of the problem, reflecting current status and changes, and the interactions in the primary systems in space and time. There is currently no critically systemic, participatory, multi-stakeholder mapping of the entire multi-scale WEF nexus for the UK and this project offers innovation in terms of the multi-disciplinarity and variety of methods including systemic intervention, data analytics and crowd sourcing techniques to mapping the WEF nexus. Ultimately, WEFWEBs will provide a better understanding to citizens and policy makers alike of the effects of choices and decisions to be made.

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Researchers

John Ingram (Co-Investigator)Julie A McCann (Co-Investigator)Lindsay Todman (Co-Investigator)Marian Scott (Principal Investigator)Michele Acuto (Co-Investigator)Rob Comber (Co-Investigator)Sharron Kuznesof (Co-Investigator)Shaun Larcom (Co-Investigator)Xiaoyu Yan (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Water Energy Food: Vaccinating the Nexus
Water Energy Food: STEPPING UP
Water availability and quality: natural environments, domestic use and food production (WaterSci)
WATERVERSE : Water Data Management Ecosystem for Water Data
DAFNE: Use of a Decision-Analytic Framework to explore the water-energy-food NExus in complex and trans-boundary water resources systems of fast growing developing countries.

Original classification

Research Grant

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