Data Solutions for Improving Health and Safety

Deadline: 2016-10-21
Award: £20,000 contract

Help us use predictive analytics to improve safety in the workplace. We want to understand whether analytics and data science can be used to help prevent major health and safety incidents in our working environments. How can we use big data and data analytics to help us predict pitfalls and thereby target mitigation activities to reduce key health and safety risks?

We're looking for a team of data experts who can work with us on developing an analytic model which uses patterns and relationships in data to identify key causal factors and indicators of harm. If we know the risks we can take action to prevent incidents more effectively – bringing us closer to our Zero Harm ambition.

Incident reports at EDF Energy are categorised into 3 levels, “Incidents (I)”, “Serious Incidents (SI)” and “Very Serious Incidents (VSI)”. This project is aimed at identifying the key casual factors of SIs. Current analysis of such incidents mainly consists of manually making use of existing incident reports and near-miss data.