Data Week 2021: the Nuclear Industry x Data Science Experts Workshop

The Nuclear Industry x Data Science Experts: Challenge Collaboration Workshop

This event will be hosted and chaired by Danny Thomas, Principal Engineer at Norton Straw Consultants. 

Data generated by the nuclear industry has increased exponentially, thus requiring new and efficient analysis methods. While the need for data science and AI is clear, defining solutions to specific problems and finding exact methodologies to tackle them is lacking. This session presents four areas in which the nuclear industry requires data science expertise.

Designed as a match-making workshop, we invite you to join and help us tackle these challenges:

Radiation Sensor Networks & Multiple Networked detectors – Whilst providing considerable data volumes, these are not currently fully utilised to understand the nature and evolution of the contributing radioactivity. Led by Dr Peter Martin, University of Bristol 

Micro-structurally informed simulation models – Currently physically based and accurate, these only simulate a tiny volume of materials, insignificant to real component size. Data driven, AI enabled surrogate models are required to offer more realistic solutions for extending their applicability. Led by Professor Mahmoud Mostafavi, University of Bristol 

Interrogating microstructure and damage- Scanning electron microscopy and electron back-scatter diffraction are extensively used to explore degradation mechanisms. However, data volumes extracted are prohibitively large for manual analysis. Analysis is also beyond physics agnostic image processing software, as user experience in deciphering images is invaluable. It is therefore desirable to capture the underlying user decision process through an AI algorithm and combine it with data analysis to efficiently sift the large data gathered in each experiment. Led by Alisa Sratulat, Mipar Image Analysis

Non-Destructive Evaluation (NDE) measurements - Performed on in-service components to assess safety and confirm material evolution is consistent with model predictions, most NDE measurements are now digital, enabling the acquisition of high-fidelity data at unprecedented scales. Thus, there is a pressing need for complete automation of the data analysis workflow. Led by Professor Paul Wilcox, University of Bristol 

Registration

Registration for this event is via Eventbrite. It will take place online. 

Data Week Online 2021

This event is part of Data Week Online 2021, organised by the Jean Golding Institute. Running from Monday 14 June - Friday 18 June 2021, this will be the 4th annual week-long series of workshops, talks and events in the world of data science and data-intensive research.

Find out more about the Jean Golding Institute by watching their short video below!