Announcing our upcoming talks

Bristol DataViz Group Announcing our upcoming talks We’re taking a break this month! We’ll be returning on Wednesday 1st May, 2-3pm in the 2nd Floor Seminar Room (2.04) of the Fry Building And announcing a special edition meeting! During Bristol Data Week (w/c 3rd June). The programme for this event is being finalised and more details will be available soon.

We’re taking a break this month! We’ll be returning on Wednesday 1st May, 2-3pm in-person in the 2nd Floor Seminar Room (2.04) of the Fry Building, School of Mathematics. More details nearer the time.

And announcing a special edition meeting of the Bristol DataViz Group during Bristol Data Week (w/c 3rd June). The programme for this event is being finalised and more details will be available soon.

6th March 2024 – AR, VR: Augmented Reality for Vector Representations from Deep Learning Models

We are pleased to welcome Alex Davies, a PhD student with the Interactive AI CDT at the University of Bristol. In this talk, Alex will present his work on using new augmented reality hardware to gain real insight into how AI models understand data.

Wednesday 6th March, 2-3pm
In-person in seminar room SM4 of the Ada Lovelace Building on Tankard’s CloseBristol.

If you’re interested, please sign-up to our mailing list to book your free ticket and to be notified of any new updates & reminders about this event.

Alex Davies
Alex is a PhD student with the Interactive AI CDT at the University of Bristol. His work mainly focusses on using AI for graph data, meaning molecules, social networks, road networks, proteins, and anything else where you can draw a line between two points.

7th February 2024 – Logging the pandemic

During the pandemic, Oliver spent a fair amount of time tweeting graphs of COVID data from his account @BristOliver. In this talk, Oliver will share some thoughts and experiences about data visualisation from this time. In Particular, Oliver will explain his love for logarithmic scales and try to justify his use of basic plotting tools as being part of a “less is more” philosophy when it comes to DataViz.

Wednesday 7th February, 2-3pm
In-person in Room 2.04 of the Fry Building on Woodland Road, Bristol.

Oliver Johnson
Oliver Johnson is Director of the Institute of Statistical Science in the School of Mathematics. During the COVID pandemic he provided commentary and graphical representations from a mathematical point of view. His book Numbercrunch (Heligo Books, 2023) is written for a general audience and describes the value of maths as a tool for making sense of the world.

10th January 2024 – Data visualisation in practise – illustrating functional neuroscience data

In this talk i will discuss some fundamental principles of data visualisation, along with practical tips, with examples from my own PhD research, as well as some examples from other organisations and publications.

Wednesday 10th January, 2-3pm
In-person in Room 2.04 of the Fry Building on Woodland Road, Bristol.

Oscar Davy
I am a data scientist at a tech consultancy company, with a PhD in computational Neuroscience (Neural Dynamics programme, Bristol University). Whilst the academic life was not for me, I always greatly enjoyed the challenge of not only generating insights from complex and messy datasets, but also how to effectively communicate these insights to audiences who may be non-specialists, unfamiliar with the specifics, or just tired and slightly bored at the end of a long meeting/conference.

6th December 2023 – Multi Sensory display of multi dimensional data

This talk will explore different ways in which data can be presented. The amount of data which can be represented using a graph on a screen will be pushed to its limits, and other ways in which our remaining senses can be used to take in information will be investigated.

Wednesday 6th December, 2-3pm
In-person in Room SM4 of the Ada Lovelace Building on Tankard’s Close, Bristol.

Matthew Ryan Tucker
Matthew undertook his Physics PhD at the University of Bristol, developing techniques for the mapping of radiation and processing of data gathered by sensor systems and quadrupedal robots. He is now working at the Department for Energy Security and Net Zero as an energy engineer, using computer models to help inform energy policy decisions