My research improves brain–computer interfaces for children with disabilities by reducing the repetitive calibration needed before use. Using transfer learning and a team-selection algorithm, data from other users help personalise the system, cutting calibration by up to 90%. This makes creative activities like painting more accessible, enjoyable, and sustainable.

This research examines how public engagement in science is shaped not just by researchers and audiences, but by institutions, environments, and material objects. By following PhD researchers across Europe, it investigates how engagement practices emerge, why they often remain exclusionary, and how understanding these “actors” can make science communication more inclusive.