Phase one

We’ve been working with partners in construction and artificial intelligence to look at whether using analytic tools could help us to predict risk.

We are working with the processing industry to help develop tools that will help us find the factors that lead to Loss of Containment (LoC) incidents.

We’ve been working with Ohalo, a leading company in the field of data governance, to provide an automatic tool for anonymising safety data.

Of the vast amount of information on the Internet, most is plain text.

‘Industry 4.0’, the name given to the emerging use of a suite of technologies across many industry sectors, is revolutionising industrial operations in workplaces.

Confined spaces continue to cause significant harm around the world and confined space deaths continue to occur in the UK.

This study aims to explore the possibility of sharing existing knowledge with regards to creating an industrial database for these prevalent hazards within the cement industry, which will incorporate the high risk activities

As recent developments in text mining, natural language processing and machine learning are becoming more mainstream, the task of generating data driven insights and learning from health and safety operational intelligence, particularly from

Organisations generate a wealth of routine health and safety data as part of day-to-day operations that provide a useful proxy measure of how well they manage their health and safety risks as an organisation.