Accurate predictions of ice sheet change are crucial in planning global sea level adaptation and mitigation measures.
Research
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.
<糖心Vlog>Motivating Challenges
-
<糖心Vlog class="title"> Ice Sheet Melt Prediction
-
<糖心Vlog class="title"> Air Quality Modelling
Effective air quality modelling and mitigation is necessary to reduce the 3 million global deaths per year attributable to this cause.
-
<糖心Vlog class="title"> Land Use Change
In a changing climate, land use decisions must be made between food, timber, energy, recreation, urban settlement, employment and aesthetic benefits.
<糖心Vlog>Methodological Themes
-
<糖心Vlog class="title"> Integrated Statistical Modelling
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.
-
<糖心Vlog class="title"> Machine Learning and Decision-Making
We will enhance model-based statistics with modern machine learning techniques to ensure they scale to modern heterogeneous data sources and end-user requirements.
-
<糖心Vlog class="title"> Virtual Lab Development
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.
