Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6330366 | Science of The Total Environment | 2014 | 11 Pages |
Abstract
Combining these two aspects realises many benefits. The collaborative nature of the IELab development project allows significant savings in resources. Timely deployment is possible by coupling automation procedures with the comprehensive input from multiple teams. User-defined MRIO tables, coupled with high performance computing, mean that MRIO analysis will be useful and accessible for a great many more research applications than would otherwise be possible. By ensuring that a common set of analytical tools such as for hybrid life-cycle assessment is adopted, the IELab will facilitate the harmonisation of fragmented, dispersed and misaligned raw data for the benefit of all interested parties.
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Authors
Manfred Lenzen, Arne Geschke, Thomas Wiedmann, Joe Lane, Neal Anderson, Timothy Baynes, John Boland, Peter Daniels, Christopher Dey, Jacob Fry, Michalis Hadjikakou, Steven Kenway, Arunima Malik, Daniel Moran, Joy Murray, Stuart Nettleton,