Date: March 20, 2025 Time: 14:00 – 18:00 PM Venue: AULA FDS, IV floor, Department of Mathematics, Politecnico di Milano
Machine learning (ML) has emerged as a critical tool in contemporary climate research. This workshop will explore prospects for ML tools to enhance the design and assessment of medium- and long-term scenarios of greenhouse gas emissions. We will cover some of the latest applications, from the use of ML in the development of integrated assessment models (IAMs) of climate change to the opportunities of ML to assist the construction and evaluation of large ensembles of emission scenarios. Due to the specific nature of ML tools, the workshop will also be an occasion to reflect on emerging issues of opacity and the potential challenges in their implementation in influential exercises of climate policy evaluation, such as those of the IPCC.
Participation is free of charge. Registration is not required.
