Oxford Events, the new replacement for OxTalks, will launch on 16th March. From now until the launch of Oxford Events, new events cannot be published or edited on OxTalks while all existing records are migrated to the new platform. The existing OxTalks site will remain available to view during this period.
From 16th, Oxford Events will launch on a new website: events.ox.ac.uk, and event submissions will resume. You will need a Halo login to submit events. Full details are available on the Staff Gateway.
Please join us for our first AI drop-in session with Dr Lei Clifton, Programme Director of the MSc in Applied Digital Health, Nuffield Department of Primary Care Health Sciences, University of Oxford. Dr Anshul Thakur, Departmental Lecturer, Computational Health Informatics (CHI) Lab, Department of Engineering Science, University of Oxford. Joshua Fieggen and Edward Phillips, DPhil Candidates, CHI Lab, Department of Engineering Science, University of Oxford.
Date: Thursday 13 November
Where: BDI/OxPop Seminar room 1
Time: 11:00 – 12:00
Registration: forms.office.com/e/aaSwNhMNX9?origin=lprLink
Do you have an AI-related question you would like to raise with the wider AI community?
Submit your question in advance and join the drop-in session, where Dr Lei Clifton and her team will address your query.
If you are keen to be part of the discussion but do not have a specific question, you are still very welcome to attend in person and follow the conversation. This is a valuable opportunity to engage with peers and exchange ideas.
The session will be informal and conversational, encouraging participants to share perspectives on AI. There will be no fixed agenda or predefined topics; instead, the discussion will evolve organically based on the questions and interests brought forward on the day. Attendees are free to drop in, ask questions, and contribute to an open exchange of ideas.
While the session will not feature presentations or detailed technical analysis, general advice will be shared, with an emphasis on applying AI thinking to real-world problems rather than exploring set topics in depth.
👉 Please note: this is an in-person event only.
