Projects
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
Events
The Northern Data Debates: Rage against the (technology) machine
Wednesday 22 Jun 2022
Time: 17:00 - 20:00
Impact stories
Interest groups
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
People
Paula Martin-Gonzales
Enrichment Student
Michael Schneider
Enrichment Student
Peter Strong
Enrichment Student
Heather Selley
Enrichment Student, The Alan Turing Institute
Thomas Statham
Enrichment Student
Christina Last
Research Data Scientist
Tom Bewley
Enrichment Student
Teddy Cunningham
Enrichment Student