#VizTIG Symposium 2024

The 6th #VizTIG Symposium will be held on the 5^th of September, in the Catalyst, Newcastle.

About the event

This symposium is an initiative from the Visualization Turing Interest Group (VizTIG).

This one day symposium will explore the latest science and engineering in data visualisation, including guest speakers, lighting talks, and posters from leading UK researchers and practitioners, and a forward-thinking keynote from an international speaker.

This event is suitable for individuals who are interested in the following areas of data science and AI:

Visualisation and visual analytics experts
Data engineers seeking to design data systems and ETL pipelines without bias
Data scientists seeking to understand the operation of analytics and machine learning.
Business and financial analysts seeking insights to live and historical data streams.
High-level decision-makers seeking accurate, timely summaries of complex uncertain events.

Attending

The free registration is through Eventbrite: https://www.eventbrite.co.uk/e/981672237087?aff=oddtdtcreator.

Agenda

Thursday 5 September 2024

10:00 – 10:20

Registration

10:20 – 10:35

Welcome and introduction
Daniel Archambault

10:35 – 11:45

Session 1: AI, Perception and Techniques
Chair: Xinhuan Shu

Atlas of AI Risks: Enhancing Public Understanding of AI Risks
Edyta Bogucka
Fears and Hopes of AI: An Interactive Visualization Platform for a Comparative Analysis of Perspectives on AI
Edyta Bogucka
Zoomable Level-of-Detail ChartTables for Interpreting Monte-Carlo-style stochastic model outputs
Aidan Slingsby
Comprehension errors using logarithmic plots
Nick Holliman

11:45 – 13:00

Lunch and demonstrations

13:00 – 14:10

Session 2: Biological Data and Medicine
Chair: Sara Johansson Fernstad

The biological data visualisation communities: VIZBI, BioVis & VCBM
Jim Procter
Patient History Visualization for Structured Medication Reviews: a design study
Layik Hama
PedCan: Multi-omics Visualization Design for Pediatric Cancer Patients
Lama Alsmmahi
How do people want their mobility data over time visualised? Adapted Delphi study with patients
Jack Lumsdon

14:10 – 14:30

Refreshment break

14:30 – 15:40

Session 3: Public Engagement and Communication
Chair: Alma Cantu

Exploring the grammar, vocabulary, and metaphor of data visualization at The North Jesmond Knowledge Exhibition
Murray Dick
Interactive Pattern Explanation for Network Visualizations
Xinhuan Shu
Visualization Atlases: Explaining and Exploring Complex Topics through Data, Visualization, and Narration
Jinrui Wang
Pieces of Peace: Women and Gender in Peace Agreements
Jenny Long

15:40 – 16:00

Refreshment break

16:00 – 17:00

Keynote
Christophe Hurter

17:00 – 17:10

Closing remarks

Keynote

Christophe Hurter is a Professor at the University of Toulouse in France, where he leads the Interactive Data Visualization group (DataVis) at the French Civil Aviation University (ENAC). His research expertise encompasses several pivotal areas, including Explainable Artificial Intelligence (XAI), Big Data and Information Visualization (InfoVis), Immersive Analytics, and Human-Computer Interaction (HCI).

Christophe will present his work on explainable AI and visualization, including two European projects, CODA and TRUSTY. The CODA project aims to create a collaborative human-machine system by integrating prediction models for task allocation, neurophysiological assessment to monitor operator mental states, and adaptable AI systems for safety. TRUSTY leverages artificial intelligence (AI) to enhance efficiency and safety in the global deployment of Remote Digital Towers (RDT).

Call for Presentations/Posters

Call for presentations are now closed.

Location

Workshop Room
The Catalyst
3 Science Square
Newcastle Helix
Newcastle upon Tyne
NE4 5TG
UK

The Catalyst is our new ground breaking facility that is home to the UK’s National Innovation Centre for Ageing (NICA) and the National Innovation Centre for Data (NICD). The building hosts a suite of bespoke facilities and a range of flexible office space. This enabled the creation of a tightly coupled and supportive ecosystem between the innovation centres and commercial organisations with a focus on either delivering new insights through data analytics or delivering new products and services which help us to age well, for longer.