Author: Alma

The NoVA team took part in Newcastle University’s Discover Festival.

On the day, around 2,500 people attended and enjoyed a wide range of activities, workshops and performances across campus.

Hannah and Alma presented two interactive stands. One invited children to think about mobility and Parkinson’s by designing an app to support self-monitoring for older adults. The other helped children explore explainable AI using coloured cubes and an explorer dashboard to identify penguins in Antarctica.

It was a great day of sharing research with local families in a fun and accessible way. Thank you to everyone who visited and to the Discover Festival team for organising such a fantastic event!

We are excited to share that several members of our team are currently attending IEEE VIS in Vienna with contributions to the conference.

Xinhuan, George, and Alma will be presenting our latest research:

[Full paper] DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models. Liwenhan Xie, Yanna Lin, Can Liu, Huamin Qu, Xinhuan Shu

[Short paper] Dichoptic Opacity: Managing Occlusion in Stereoscopic Displays via Dichoptic Presentation. George Bell, Alma Cantu

Our group has other exciting works accepted this year:

[Full paper] TimeLighting: Guided Exploration of 2D Temporal Network Projections. Velitchko Andreev Filipov, Davide Ceneda, Daniel Archambault, Alessio Arleo

[Workshop Paper] Layers of Doubt: Typology of Temporal Uncertainty in Dynamic Diffusion Networks. Tom Baumgartl, Tatiana von Landesberger, Alessio Arleo, Silvia Miksch, Velitchko Andreev Filipov, Sandhya Rajendran, and Daniel Archambault
🏆 Uncertainty Visualization 2025 best short paper honourable mention

We look forward to sharing our work and connecting with the visualization community in Vienna. See you there!

We are delighted to introduce Hannah Kim, who has recently joined the Faculty of Medical Sciences as a PhD researcher. Hannah is supervised by Dr Precious Onyeachu, Dr Alma Cantu, and Prof Camille Carroll. Her work focuses on critically evaluating and refining a Clinical Decision Support System, with particular attention to how it reflects clinical guidelines and expert judgement, and how it can better assist both patients and clinicians in making informed healthcare decisions.

We are excited to see Hannah’s research develop and to welcome her into our academic community. Please do feel free to connect, say hello, and explore opportunities to collaborate.

A warm welcome to Hannah!