Working together

Working together

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Join the Discovering Safety team and share experiences and explore how to use tools and techniques to access and improve your use of safety data.
Working together

Unlocking your data: How to use data for safety critical insight and effective operational decision making

About this Event

Development of capacities to extract health and safety insights from free-text sources phase one outputs

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

Ohalo Data X-Ray anonymisation evaluation for phase one of the Lloyds Accelerator Challenge

The effectiveness of the Ohalo Data X-Ray anonymisation has been evaluated in comparison to manual anonymisation.
CementWorkshop

Interactive second stakeholders workshop on health and safety performance in cement industries

An interactive session among stakeholders in the cement industry both in UK and Nigeria was held on the 5th of September, 2019 in the University of Manchester. This was the second stakeholders workshop on health and safety performance in cement industries.
Cement workshop delegates

Health and safety performance in high hazard industries workshop

On the 8th July we held an extremely interactive and practical stakeholders’ workshop in a very sunny Nigeria.
O Halo

Discovering Safety and Lloyd's Register Safety Accelerator Challenge

Automatic Anonymising and Desensitising Of Data 
Cement industry health and safety

International insights in the cement industry

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
Workplace

Development of capacities to extract health and safety insights from free-text sources

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