Sellafield are seeking to innovate in the way they analyse Health, Safety and Environmental data to improve insight, trend analysis and early prediction of safety issues. The data which needs to be analysed includes safety observations, assurance activities, assurance action tracking information, accident reports and unsafe condition reports. Applications are invited for technological solutions to meet this challenge. The deadline for applications is Friday 24th January at 12 noon. Sellafield are exploring the use of Machine Learning (ML) to help analyse health, safety and environmental data to improve prediction of risk.

Delegates will be given further information on the nature of these challenges, constraints, and the solutions being sought. Applications will be invited, and an explanation of the Game Changers process given. Following the event, a physical non-active demonstrator will be created at the Robotics for Extreme Environments Laboratory to mimic the environment in which robots will need to be deployed. Successful applicants will be invited in early 2020 to demonstrate their robots. The solutions which demonstrate the greatest potential will be progressed through the Game Changers process with funding available to further develop their technology.