In the predicting risk work the feasibility of deploying off the shelf predictive analytic tools for use in health and safety contexts has been explored.
Lloyd’s Register FoundationDiscovering Safety Programme
Imagine a world where no one dies as a consequence of work, where industry doesn’t suffer catastrophic failure, where companies can say that no one was harmed in the making of their product and where accidents can be predicted and therefore prevented.
Our work
Loss of containment insights
Across the process industries, both on and offshore, a key focus is upon maintaining primary containment. Primary containment refers to keeping flammable and toxic materials inside plant items such as vessels, tanks and pipework.
Leading indicators for health and safety performance assessment
The leading indicators of health and safety failures use case looked to support construction contractors in the collection and analysis of health and safety lead indicators intelligence as part of drives to promote more proactive health and safety practice on construction projects.
Construction risk library
Building on the successful work in phase one from the construction risk knowledge management using BIM use case, where the industry need for an integrated safety and building management tool was evidenced, we have proposed to further develop a tool, in particular, to widen out its scope to inclu
Get involved
We are actively engaged with a wide group of stakeholders, from industry, academia and government, both within the UK and internationally. Discovering Safety seeks to understand health and safety challenges and apply a data-driven approach to find innovative solutions which make a positive impact on them. There are many ways to get involved with Discovering Safety and join our community.
Become a member
Discovering Safety is creating solutions for its partners, through pilots, feasibility studies and research. We welcome the opportunity to partner with a range of organisations. Get in touch to find out more about live pilots and partnership opportunities: discoveringsafety@hse.gov.uk
Visit our partners page to see who we are making an impact for.
Our partners | Discovering Safety
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Partners
Heathrow
Heathrow is Europe’s largest airport and one of the world’s top international aviation hubs. As the UK’s global gateway, Heathrow has welcomed more than 78 million passengers every year.
Blogs
Rise in industry use of AI technologies in workplaces and future challenges for health and safety: Part 3
In Part 2 of this article series I considered a number of challenges associated with the rise in use of industrial AI systems in workplaces, namely 1) the emergence of new health and safety risks stemming from the use of the technologies; 2) the challenges of judging whether any risks to health a
Rise in industry use of AI technologies in workplaces and future challenges for health and safety: Part 2
In Part 1 of this article I considered potential knock on effects for health and safety in the event that industrial AI systems used in workplaces get it wrong and offered a perspective on key considerations in attempting to mitigate such risks.
News
Safety leading indicators in construction paper is published
We are delighted to announce that our Safety leading indicators in construction: A systematic review paper written by our team at the University
Events
Publications
Industry 4.0 implications for health and safety phase one outputs
Report
Industry 4.0 is the name given to a suite of technologies that is transforming how operational decisions are arrived at in industrial workplaces. The impact of Industry 4.0 technologies is so great that it has been associated with a 4th industrial revolution.
Web scraping health and safety intelligence phase one report
Report
There are huge volumes of useful health and safety information openly available on the Internet.
Development of capacities to extract health and safety insights from free-text sources phase one outputs
Report
The text mining project being delivered as part of the LRF Discovering Safety Programme is looking to build upon existing state of the art text mining and natural language processing to develop a suite of text mining and natural language processing tools and techniques for specific use on unstruc