A circularity accounting model for CO2: worksite for neural network model training data and case study design.

This worksite supports development of a CO2 estimator and a CO2 production-consumption chain predictor, in order to reassess the use of CO2 across global supply chains. In the view that the rise in CO2 emissions has been exponential, this project engages the exponential growth of artificial intelligence models to work in concert with individual action, mediated by a circularity accounting model. The model architecture is based on a deep learning neural network in several modules. Training of the network modules can be designed using the graph tool on this page. Existing data from case studies may be opened in the graph editor.