
BlueCity
BlueCity
1 Projects, page 1 of 1
assignment_turned_in Project2018 - 2021Partners:Schumacher Institute, CICERO, CSEF, East Rand Water Care Company (ERWAT), Bristol Food Network C.I.C. +23 partnersSchumacher Institute,CICERO,CSEF,East Rand Water Care Company (ERWAT),Bristol Food Network C.I.C.,GENeco,DRIFT,Coventry University,Centre for Sustainable Energy (CSE),UCT,GENeco,DRIFT,SU,State University of Campinas (UNICAMP),Bristol Food Network C.I.C.,Stellenbosch University,Schumacher Institute,University of California at Santa Cruz,Isidima Design & Development (Pty) Ltd.,State University of Campinas (unicamp),UCSC,Coventry University,BlueCity,BlueCity,East Rand Water Care Company (ERWAT),Wessex Water Services Ltd,WESSEX WATER,CICERO Ctr fr Intnatnl Climate & Env ResFunder: UK Research and Innovation Project Code: ES/S002243/1Funder Contribution: 204,933 GBPThe aim of the WASTE FEW ULL project is to develop and test internationally applicable methods of identifying inefficiencies in a city-region's food-energy-water nexus. We will undertake this through an international network of industry/civic society-led Urban Living Labs (ULL) in four urban regions - UK (Bristol), Netherlands (Rotterdam), South Africa (Western Cape) and Brazil (Campinas). Partners in Norway and the USA will provide economic valuations of potential impact, and impact-led public education, outreach and dissemination. Waste occurs across food, energy and water systems; at the interface of these systems, waste increases significantly the over-consumption of our limited resources (FAO, 2017): food (e.g. energy lost in food storage), energy (e.g. used to clean water) and water (e.g. nutrients lost in sewage). Resource scarcity is not only a matter of efficiency, but of access, distribution and equality (Exner et al, 2013). Each urban context has different pressures and opportunities (Ravetz, 2000). The focus of the WASTE FEW ULL project is therefore not so much on the specific downstream challenges, but on upstream processes by which cities can identify, test and scale viable and feasible solutions that reduce the most pressing inefficiencies in each context.
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