ISIE-SEM conference 2024, Beijing
This August, I had the chance to head out to Beijing for the Industrial Ecology Socio-Economic Metabolism (ISIE-SEM) conference with fellow Refficiency members Jonathan Cullen and Fanran Meng....
This August, I had the chance to head out to Beijing for the Industrial Ecology Socio-Economic Metabolism (ISIE-SEM) conference with fellow Refficiency members Jonathan Cullen and Fanran Meng....
New paper evaluates the potential of machine learning methods to automate the completion of GHG datasets.
Uncertainties in greenhouse gas emissions estimates for petrochemical production have lacked quantification globally, impacting emissions reporting and decarbonization policymaking. Here we analyze cradle-to-gate emissions of 81 chemicals at...
Luke reflects on his time at the AGU conference in December 2022 presenting work using machine learning to detect earthquake precursors.
Disaster risk reduction requires collaboration from across disciplines and cultures. Luke Cullen developed a machine learning framework for disaster response.
Four members of the Resource Efficiency Collective attended the Gordon Research Seminar (GRS) and the Gordon Research Conference (GRC) on Industrial Ecology, both held in Maine, US between...
Refficiency’s Luke was recently part of Supergen’s ‘Fishbowl’ Conversation at COP26 discussing the future of net zero energy. “A ‘fishbowl’ conversation is a participant-driven meeting designed for mass-engagement,...