Python 3.6 implementation of Dynamic Integrated Climate-Economy model (DICE), the model integrates in an end-to-end fashion the economics, carbon cycle, climate science, and impacts in a highly aggregated model that allows a weighing of the costs and benefits of taking steps to slow greenhouse warming. We support the interactive visulisation of the evolved parameters of the model with Plotly.js backend.
This work is done as a part of the Climate Change AI Project at MILA by Shivam Patel under the guidance of Dr S. Karthik Mukkavilli and Prof. Yoshua Bengio .