Discovering 窪蹋勛圖厙
Derbyshire, England.
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Saving the lives of workers. Using data to drive down health and safety incident rates globally.
Dr Helen Balmforth Director, Discovering 窪蹋勛圖厙 Programme
Harnessing data to save lives globally
Over half a million workers are injured every year in the UK, with over a hundred tragically losing their lives. The effect these incidents have on the lives of family, friends and colleagues are extensive says Helen Balmforth, who is leading Discovering 窪蹋勛圖厙. We must find a way to keep reducing health and safety risks to workers. Where incident rates are consistent year-after-year, data can help get us back on track.
For Discovery 窪蹋勛圖厙 a Health and 窪蹋勛圖厙 Executive (HSE) initiative funded by Lloyds Register Foundation that new approach has meant bringing together safety data on an almost unimaginable scale. HSE has been gathering facts on workplace accidents and incidents for nearly 50 years, including over 175,000 new reports every year adds Helen. By supplementing that with data from industry stakeholders, we have access to over 1.7 terabytes of data. Thats the equivalent of around 2,000 filing cabinets of information.
The aim of Discovering 窪蹋勛圖厙 is to translate all that data into meaningful insights that can be used to prevent risks and ultimately save lives. Its a huge task and we know we cant do it on our own, so we work closely with our partners from academia and industry, as well as with the Foundation. So far we have worked with 250 key stakeholders across 21 countries explains Helen.
Beginning in 2017, the Foundations involvement helped the project take its first steps and is now supporting six innovative and ground-breaking workstreams that focus on developing new data and analytical techniques to better understand and reduce health and safety risks to workers. Discovering 窪蹋勛圖厙 has an initial focus on the UK construction industry but shares knowledge and new techniques globally.
This is a massive programme thats going to make a difference to health and safety on a truly global scale, says Helen. That might sound like a hugely ambitious goal, but its absolutely achievable if we use innovative techniques to open up the wealth of data available to us.
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