Research projects

In the AI for smart conservation project, BAS are collaborating with local ecologists and conservation agencies to develop decision-making tools informed by sea ice forecasts. By combining satellite observations, GPS …

The AI4EO Accelerator is a collaboration between Φ-Lab of the European Space Agency (ESA) and the UKRI Centre for Doctoral Training (CDT) in the Application of Artificial Intelligence to the …

Given a set of science objectives, a collection of assets and a model of the ocean and weather conditions, our autonomous task planner creates a plan of activities that achieve …

AI systems will provide automated decision support in polar navigation delivering optimal fuel economy and minimising carbon emissions.

Fragmentation occurs when parts of a habitat are lost due to for example change of land use, leaving behind smaller unconnected areas. This makes survival of the species of the …

Environmental research relies on digital infrastructure (hardware, software and methods) to provide services that help researchers answer questions about the environment around us, and innovators to work out ways that …

Digital Twinning is next generation technology for data fusion and computer modelling enabling us to rapidly get answers to “what-if” questions. DTs are already in operation in industry and involve …

Exposure is one of the corners of the risk triangle, the other parameters being hazard and the vulnerability. In this context exposure is defined as the degree to which elements-at-risk …

Navigation through sea-ice entails considerable risk, with periods when the ship is trapped in ice leading to large fuel expenditure and possible damage to the vessel. British Antarctic Survey, Turing …

IceNet is a probabilistic, deep learning sea ice forecasting system developed by an international team and led by British Antarctic Survey and The Alan Turing Institute [Andersson et al., 2021]. …

Project Summary: PolarRoute, a sub-project within Autonomous Marine Operations Planning,  is developing a integrating AI algorithm that utilises a diverse range of available environmental datasets, and forecasts, to provide real …

We are developing fully automatable methods for the detection of icebergs using satellite radar data and bayesian tracking methods to monitor icebergs at the individual level and continental extent.

The evolution and ecology of Antarctic sea floor communities is a UKRI Future Leaders Fellowship, led by Dr Rowan Whittle, looking at the past, present and future of life at …