Impact of climate change on agriculture Building next-generation models to support resilient agricultural policy
Environment and sustainability Using data science and AI to tackle environmental and climate challenges
Environmental monitoring: blending satellite and surface data Intelligent fusion of data from satellite and in-situ surface sensors to help understand our changing planet
Shocks and resilience Measuring policy impact in the COVID-19 crisis and building resilience against future shocks
Uncertainty quantification for black box models Developing methods for the quantification of uncertainty in complex numerical models
WAYS: What aren’t you seeing? Enhancing everyday visualisation practice through generative and evaluative design tools for data scientists
Project Odysseus – Understanding London ‘busyness’ and exiting lockdown Capturing activity over London to better understand 'busyness' and aid effective policy-making strategies for exiting the pandemic lockdown
Improving tracking of iceberg populations in the Southern Ocean Using machine learning to develop new methods to detect and track icebergs in radar satellite imagery
The Northern Data Debates: Rage against the (technology) machine Wednesday 22 Jun 2022 Time: 17:00 - 20:00
Helping London to navigate lockdown safely Project Odysseus monitors activity on the streets of London, allowing authorities to make interventions to keep people socially distanced
Bridging machine learning and behaviour models How can we bridge data-driven and theory-driven behavioural models?
Machine learning for radio frequency applications How do we generate robust, real-time machine learning algorithms with integrated hardware and software for radio frequency applications?
Omics data generation and analysis group Developing rigorous and robust data science methods for curation, collection and computation of omic data sets
Environment and sustainability What role can data science and AI play in addressing the challenges associated with environmental change?