Incremental Material Flow Analysis with Bayesian Inference

Rick Lupton

University of Cambridge

Rick is a Research Associate in the Use Less Group at the University of Cambridge. He studied engineering at the University of Cambridge, before working for several years on the design and modelling of wind turbines, first at a renewable energy consultancy, and later back in the Department of Engineering at Cambridge. Since completing his PhD in 2014, he has been working with Professor Julian Allwood on modelling and visualisation of resource use.Rick's research interests include dealing with uncertainty in modelling, using analytical and stochastic methods, and the subsequent analysis and visualisation of model results. He is a supporter of open research and is the author of several open-source software packages related to visualisation of resource flows with Sankey diagrams, amongst other things.


Material Flow Analysis (MFA) is widely used to study the life-cycles of materials from production, through use, to reuse, recycling or disposal, in order to identify environmental impacts and opportunities to address them.... [ view full abstract ]


  1. Rick Lupton (University of Cambridge)
  2. Julian Allwood (University of Cambridge)

Topic Areas

• Socio-economic metabolism and material flow analysis , • Open source data, big data, data mining and industrial ecology , • Advances in methods (e.g., life cycle assessment, social impact assessment, resilience a


ThS-11 » Material Flow Applications 1 (09:45 - Thursday, 29th June, Room H)

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