Modelling uncertainty and variability in Industrial Ecology
The goal of this session is to present recent research on modelling uncertainty and variability in Industrial Ecology. This session is a follow-up on the Special Session at the 2017 conference in Chicago on the topic, written up here: https://www.ricklupton.name/2018/isie-moving-beyond-averages/. The aim of the session is to update/dispute the view summarised there based on developments in the past 4 years.
There will be 6 presentations on different aspects of uncertainty and variability, followed by a general discussion based on questions and comments from the audience during the session.
Session program:
- Minute 0-5: Welcome by session chair and introduction to topic
- Part 1: Uncertainty and decisions
- Minute 5-22: “Material selection in building design: unknowability, uncertainty and variability” by Jim Hart, Edinburgh Napier
- Minute 22-39: “What actions make a difference?” by Dr Matteo Craglia, International Transport Forum (OECD).
- Part 2: Uncertainty from choices
- Minute 39-56: “Building material flow characterization model : quantification and propagation of uncertainties of numerical and categorical variables.” by Rafaela Tirado, ETH-Zurich, Switzerland.
- Minute 56-73: “Leveraging probabilistic LCA framework for harmonization efforts: a case of environmental product declarations of construction materials”, by Dr Hessam Azarijafari, MIT, USA.
- Part 3: Uncertainty of data
- Minute 73-90: “The Challenges of Databased Modelling of Commodity Price Variance for Hybrid LCA” by Arthur Jakobs, University of Freiburg, Germany.
- Minute 90-107: “Uncertainties of domestic road freight statistics: insights for regional MFA” by Dr Pierre-Yves Longaretti and Dr Jean-Yves Courtonne, Inria, France.
- Minute 107-120: General discussion
Organizers and session chairs: Rick Lupton, University of Bath, UK; André Cabrera Serrenho and Jonathan Cullen, University of Cambridge, UK.
If you need technical assistance, please contact us at industrialecologyday@is4ie.org.