Data Privacy and Synthetic Data in the Energy Sector (In-person)

The aim of the workshop will be to demonstrate how sharing detailed datasets can lead to issues around privacy and how generating synthetic data can help to reduce or remove these sensitivities whilst maintain utility.

The workshop will be split into two sessions, one focusing on how detailed datasets can create risks around personal data and the second around how synthetic data can help balance privacy and utility of valuable data. Each session will have short presentation and an interactive session where the audience can implement examples using notebooks connected to data on the SENSE platform.

Students, researchers, innovators, data owners. Beginners or above knowledge of Python required.

Participants should bring their own laptop with their chosen web browser

1. Share understanding of the value and risks associated to sensitive data
2. Techniques which can be utilised to reduce these risks

Stephen Haben, AI Consultant - Energy Systems Catapult

Richard Snape, Senior Modelling Consultant - Energy Systems Catapult

Please look at our Code of Conduct for all online and in-person events organised by the JGI.

This event is part of Bristol Data Week 2026, organised by the Jean Golding Institute taking please from Monday 1 June – Friday 5 June 2026. Bristol Data Week is a university-wide umbrella event bringing together academia, industry, community organisations, policy makers and the public to explore the power of data science and AI in addressing real-world challenges.

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Host or Publisher Jean Golding Institute at the University of Bristol