Visualization for Data Science and AI A half-day symposium online from the Alan Turing Institute
About this Event
Abstract
The fields of Data Science and AI generate involve processes and generate outputs that can be challenging for humans to understand. In many situations it is essential to understand and gain deep insights about these phenomena in order to make decisions in the real world. The role of Data Visualization in these situations is to enhance human cognition, providing faster and more accurate insights.
There is a real and growing gap between big data and the human ability to comprehend and act upon the analysis of that data. Research in the science and engineering of visualization needs to respond to this challenge in order that data and data products remain comprehensible to people. This one-day symposium will explore the latest science and engineering in Data Visualization, including a training workshop, demonstrations and presentations from leading UK researchers and innovators, and a forward-thinking keynote from an international speaker.
If you are interested in the following areas of Data Science and AI this symposium is for you:
– 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.
– The Public looking for news and advice about everyday life.
– Visualization theory and practice cuts across all the challenge themes at The Turing, if you have an interest in visualization come and network with leaders in the field.
Agenda – Visualization for Data Science and AI
12:50 Professor Roy Ruddle (Leeds University)
13:00 – 14:00 Chair: Professor Roy Ruddle (Leeds University)
13:00 – 13:15 Glyphmaps for analysing the scale and temporal spread of covid-19 cases. Roger Beecham, University of Leeds.
13:15 – 13:30 Comparing glyph designs, Lucy McLaughlin, Newcastle University.
13:30 – 13:45 Turing Geovisualization Engine (TGVE): scalable data analysis and visualization tool, Layik Hama, University of Leeds.
13:45 – 14:00 The data visualization iceberg, Professor Jonathan Roberts, Bangor University.
14:00 – 14:30 Coffee break
14:30 – 14:45 Visualising Contact Tracing Networks in Response to COVID-19, Daniel Archambault, Swansea University and Cagatay Turkay, Warwick University
14:45 – 15:00 Visualization for understanding regression models, Thomas Torsney-Weir, Swansea University.
15:00 – 15:15 Development of a Powerwall-based solution for the manual flagging of radio astronomy data from eMerlin, Felipe P. Mosquera, University of Leeds.
15:15 – 15:30 Visualizing large and complex data, Dr Sara Fernstad/Dr Alma Cantu, Newcastle University.
15:30 – 15:45 Break
15:45 – 16:45 Keynote speaker: Ruth Rosenholtz, Principal Research Scientist, CSAIL, MIT: Human vision at a glance
The title of this talk has two meanings. First, I will give a quick overview of vision science of relevance to applications like visualization. Vision science has really advanced in recent years, so this will provide an important update. Second, it turns out that the single most important part of understanding human vision is to understand what people can perceive at a glance, meaning in a single fixation. Vision science now has a far better understanding of what people can see at a glance.
16:45 – 17:00 Closing discussion and introduction of the Landscaping documentProfessor Nick Holliman (Newcastle University)
17:00 – 18:00 Virtual community meeting over coffee/tea/beverage of your choice.
