to
Drum Building, Madingley Rise, Madingley Road, Cambridge, CB3 0EZ and zoom.
About
On Tuesday 23 January our AI4ER seminar will be presented by Dr Max Callaghan, Mercator Research Institute on Global Commons and Climate Change (MCC), Berlin.
Talk title: Machine learning assisted evidence synthesis to support evidence-based policy on climate change
Abstract: Useful information about climate change is hidden in millions of unstructured texts. Using Natural Language Processing (NLP) to identify, classify and analyse these texts, we can derive insights that help us to understand the science and politics of climate change. Machine learning-assisted evidence synthesis can make vital meta-learning from scientific literature more tractable, and aid important assessment processes like the Intergovernmental Panel on Climate Change. In this talk, we will explore some of the ways in which machine learning can be used to scale up evidence synthesis, with applications in climate science, climate impacts, and climate mitigation policy
Location: Drum Building, Madingley Rise, Madingley Road, Cambridge, CB3 0EZ and zoom.
For more info on future talks, or to view the archived records of past sessions, please visit the talks.cam page:
http://talks.cam.ac.uk/show/index/95728