Ice Sheet Melt Prediction
Accurate predictions of ice sheet change are crucial in planning global sea level adaptation and mitigation measures.
While an explosion in data science research has fuelled enormous advances in areas as diverse as eCommerce and marketing, smart cities, logistics and transport, health and wellbeing, these tools have yet to be fully deployed in one of the most pressing problems facing humanity, that of mitigating and adapting to climate change.
Accurate predictions of ice sheet change are crucial in planning global sea level adaptation and mitigation measures.
Effective air quality modelling and mitigation is necessary to reduce the 3 million global deaths per year attributable to this cause.
In a changing climate, land use decisions must be made between food, timber, energy, recreation, urban settlement, employment and aesthetic benefits.
This theme will develop a suite of inference and prediction techniques for environmental problems, bringing together existing technology and new developments in a modular framework.
We will enhance model-based statistics with modern machine learning techniques to ensure they scale to modern heterogeneous data sources and end-user requirements.
This theme will focus on the development and deployment of virtual labs as a key instantiation of the integration of heterogeneous data and models that is central to our project.