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
Construction Risk Library project
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
We're looking to engage with a wide group of stakeholders, within the UK and internationally, to further understand the key health and safety challenges they face and where a data-driven approach could make a positive impact on these.
For further details on this project, to express an interest in contributing to the initial proof of concept work or for further details on the Discovering Safety Programme more generally, please contact the project team at firstname.lastname@example.org
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Rise in industry use of AI technologies in workplaces and future challenges for health and safety: Part 3
Rise in industry use of AI technologies in workplaces and future challenges for health and safety: Part 2
Government fund backs project to support construction companies to share information about dangerous incidents to help prevent injuries
Industry 4.0 implications for health and safety phase one outputs
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
There are huge volumes of useful health and safety information openly available on the Internet.
Phase one outputs from development of capacities to extract health and safety insights from free-text sources
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