Seminar 1 - Monday 24 May 2021, 15:00 – 15:50 (GMT)

Uncertainty Quantification (UQ) for Black-Box Computational Models with Application to Machine Decisions

Presenter: Professor Peter Challenor

Uncertainty quantification of complex numerical models is a large subject with potential to help address many important issues facing the world today, from epidemics to the climate emergency and the biodiversity crisis. We will discuss a number of problems arising from the theory and mathematics of uncertainty quantification; including model calibration (inverse modelling), the sequential design of experiments and dynamic emulation of numerical models.

Seminar 2 - Monday 11 October 2021, 15:00 – 15:50 (GMT)

The Evidence Base of Artificial Intelligence: Supporting Data Fairness to Enhance Research Quality

Presenter: Professor Sabina Leonelli

Efforts to ensure responsible and ethical AI are intertwined with efforts to develop high-quality reference data and trustworthy, reliable and accessible data sources. The importance of effective strategies for data management and sharing has been widely recognised: a key challenge remains to find ways of fostering fair and responsible data use. This talk reviews and compares lessons learnt from the qualitative study of responsible data linkage in the agricultural/plant sciences as well as the biomedical/health domain (including research grounded on social media analysis and data integration set up in response to the COVID pandemic).

Seminar 3 - Monday 1 November 2021, 15:00 – 16:00 (GMT)

Towards a resilience sensing system for the biosphere

Presenters: Professor Tim Lenton

I will focus on the development of a resilience sensing and tipping point early warning system for the biosphere. This will include results for the changing resilience of patterned vegetation systems in the Sahel. I will also touch on progress using deep learning to improve early warning methods for tipping points.

Registrations are closed

Presenting the Turing Fellow Research Projects