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ODI Fridays: Can data improve health and safety at work?

ODI Fridays: Can data improve health and safety at work? Data and AI is changing the way we manage workplace risk. Discovering Safety are using data and analytical tools to generate new insight and solutions.

Thousands of lives are still lost each year through workplace accidents and ill health. The Health and Safety Executive is leading the way in improving global health and safety performance through its new Discovering Safety Programme.

Discovering Safety uses data and analytical tools to generate new insight and develop solutions to address key health and safety challenges for maximum global benefit. It applies expertise in data science, artificial intelligence and machine learning to health and safety contexts and is creating impact by working with stakeholders worldwide to derive insight that can be applied in local contexts to substantially improve health and safety and ultimately save lives.

If you have an interest in data and AI and how these are changing the way we manage workplace risk come along and find out more about the Discovering Safety programme and how you can get involved.
About the speaker

Dr Helen Balmforth is the Head of Data Analytics at HSE and the Programme Director for Discovering Safety. She has over eighteen years’ experience of developing and delivering analytical solutions for a range of health and safety issues with HSE. Helen leads the new Lloyds Register Foundation Discovering Safety programme, which aims to improve health and safety performance on a global scale using data and analytical techniques to provide new insight and solutions.

Steven Naylor is a Senior Data Scientist based in HSE’s Science Division and is Associate Director on the Lloyds Register Foundation Discovering Safety Programme. His main area of expertise is in the application of data analytic techniques, including data mining for knowledge discovery, text mining, predictive analytics and statistical machine learning to generate intelligence from multi format data sources to support knowledge creation and inform decision-making.

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