2024 Annual Event – this event has now passed.
Date: 5th & 6th September
We are excited to announce that our 2nd Annual Event will be held at King’s College London, Strand Campus.
This two-day event promises engaging discussions, networking opportunities, and insightful presentations from leading experts in the field.
Venue Details: King’s College London, The Strand, Great Hall,
Lecture Theatre: Edmond J Safra Lecture Theatre (Tiered with large capacity)
Entrance: King’s College London, The Strand, Main entrance
Networking & Poster Presentations: In the Great Hall
Programme schedule
Event Highlights:
Format: Hybrid event (both in-person and virtual participation)
Keynote speakers each day: Professor Tim Denison & 2nd Keynote to be announced
Evening drinks reception: on the Thames River Terrace (Day one)
Poster Presentation: Poster Prizes and Presentation of Poster over 2 days
Networking & Working Groups: Extra time scheduled for Networking & Discussions
Showcasing: Recently Funded Prime Prime calls and updates on those coming to an end.
Early Career Network: including Rapid Fire Poster Presentations
This event is free but we do ask you to register via Eventbrite for in person or online attendance. Spaces are limited.
Poster Submission
We invite abstract submissions for poster presentations.
For detailed poster submission information and size of poster boards, please click here.
To apply for a poster presentation, please send your completed abstract to: R4N@kcl.ac.uk, by Monday 5th August, 5pm (BST).
Abstracts must be in Microsoft Word and include:
Abstract title
Name and institution of presenting author
Name and institution of co-authors
Email address of presenting author
A scientific abstract (up to 250 words) including: Introduction, Methods, Results*, Conclusion
*We appreciate that Researchers may like to showcase novel research where final results are not yet available such as registered reports, or where data collection is still in progress. We will consider these abstracts. Please include an analysis plan and, where possible, preliminary or pilot data.