27–29 Oct 2026
The Cosener's House
Europe/London timezone

Welcome to the Third Visualizing Offline and Live Data with AI (VOLDA) Workshop – 2026!

The Third Visualizing Offline and Live Data with AI (VOLDA) Workshop will take place at The Cosener’s House, Abingdon, United Kingdom, and is organised by the UK Atomic Energy Authority (UKAEA).

VOLDA brings together the fusion community to explore advanced scientific visualisation, digital twin environments, and interactive data interpretation workflows, alongside artificial intelligence and machine learning techniques that support insight generation from complex fusion experiments and simulations.

Over three days, the workshop will focus on practical experience, lessons learned, and innovative approaches for visualising, analysing, and interacting with large-scale fusion data — from offline simulation outputs to live experimental streams.

The programme will include invited and contributed presentations, structured discussions, and opportunities for collaboration across research organisations and industry.


Abstract Submission

Authors are invited to submit abstracts aligned with the Conference Topics of the Third Visualizing Offline and Live Data with AI (VOLDA) Workshop – 2026.

All submissions must be made through the online submission system and will be reviewed by the Programme Committee for relevance and scientific quality.

The workshop offers two contribution categories. Accepted submissions in the Contributed Presentation category will be scheduled as oral presentations within the technical programme, while Discussion Contributions will be incorporated into structured interactive sessions and roundtable discussions.


Registration

Participation in the workshop is by acceptance of abstract only.

Authors will be notified of the outcome of the review process. Once an abstract is accepted, presenting authors and discussion participants will be invited to complete the registration process.

The registration form will be made available via Indico at a later date. Detailed instructions will be provided to accepted participants.

Participation is moderated, and places are limited due to room capacity.


Who can attend

The workshop is intended for researchers, designers, engineers, and developers working in scientific visualisation, fusion data interpretation, digital twins, interactive diagnostic systems, real-time data platforms, and AI/ML applications supporting insight generation in fusion research.

We particularly welcome participants developing or applying advanced visualisation workflows, immersive/XR tools, and interactive systems for exploring complex experimental and simulation data.

Due to high demand and limited availability, please register only if you are confident you can attend.


 Key Dates 

Workshop dates: 27–29 October 2026
Abstract submission deadline: 30 April 2026
Notification of Acceptance: 10 May 2026

Note: Submission portal may close early if capacity is reached. 


Visas / Electronic Travel Authorisation (ETA)

Please check the UK Government website to determine whether you require a visa or ETA. We recommend applying at least 16 weeks before the event.

If you require an invitation letter, please email the organising team with your full name, organisation, and nationality as stated in your passport.

 

International participants are encouraged to submit their abstracts as early as possible to allow sufficient time for visa processing.

Conference information

Date/Time

Starts

Ends

All times are in Europe/London

Location

The Cosener's House
Garden
15-16 Abbey Cl, Abingdon OX14 3JD
Go to map

Extra information

IMPORTANT: Please make sure you have a confirmed ticket before attending the event. Access to the Culham site is subject to UKAEA security protocols, and we reserve the right to deny entry where necessary. All visitors must present a valid photo ID upon arrival in order to receive a visitor pass. Without photo ID, access to the Culham site will not be granted. Thank you for your understanding and cooperation.

 

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The call for abstracts is open
You can submit an abstract for reviewing.