MIR@W Day - Data Visualisation
MIR@W Day - Data Visualisation and Story Telling
Novel technologies in engineering, medicine, science, and the social sciences generate complex longitudinal and multivariate datasets, making effective data visualisation essential for communicating key insights and building trust in measurement and underlying systems.
Modern approaches build on foundational work by pioneers such as Charles Minard and principles articulated by Edward Tufte, while integrating advances in visual communication, computational design, statistical modelling, and methods such as topological data analysis. These approaches support the systematic assessment of complex data, identification of structural issues, and the generation of reliable, high-fidelity representations for decision-making.
We join forces with CIMLink opens in a new window to offer an event on modern data visualisation in research and the creation of effective narratives for fast-paced communication. Following an introduction to key concepts and approaches, we will focus on how to identify visualisation aims and needs before experimenting with alternative ways of putting them into practice. The event centres on graphical outputs and the stories they tell, rather than on specific coding techniques, making it accessible to participants from a wide range of backgrounds.
Organiser: Julia Brettschneider - Julia.Brettschneider@warwick.ac.uk and Cagatay Turkay - Cagatay.Turkay@warwick.ac.uk
Date: 30.9.2029
Location: Zeeman building room D1.07 (directions)
Registration form: Click here to register.
Who should attend?: We aim to bring together researchers across campus to foster collaboration. We particularly invite early-career researchers and PhD students for this opportunity. No prior knowledge of software or computing languages or is expected.
Programme
| 1:00-1:30pm | Lunch & welcome |
| 1:30-2:30pm | Introductory talks by Roger Beecham (Associate Professor in Visual Data Science, University of Leeds) and Kevin Allain (CIM, Warwick) about communicating data through visual and narrative techniques |
| 2:30-2:45pm | Short networking break |
| 2:45-4:15pm | Interactive activities: verbalise your your data visualisation needs & identify implementation options |
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