Visualisation workshop

A number of us last week attended a workshop on visualisation, organised by Nick Holliman, professor of visualisation in the school of computing scince. After successfully having abstracts accepted David Fairbairn gave a presentation on ‘using geovisualisation in the decision theatre’ and Neil Harris presented his and Craig Robson’s work entitled ‘spatio-temporal network simulation and failure visualisation’ (as presented at GISRUK earlier in the year).

The aim of the workshop was to firstly share the work going on in the visualisation of data in research around different groups and departments across the university. This was achieved through a series of presentations giving an opportunity for people to present their work on visualisations as used in their research. This also gave the opportunity for them to raise questions about their work with regard to how to improve the visual outputs as well as pose thought provoking questions in the area of visualistion. This session provoked some productive discusions on the area of visualisation in gereneral in repsonce to the material presented.

The afternoon session focused on two questions; (1) what tools and methods are commonly used for visualisation in research and (2) what is required for the future of visualisations in research. Breakout groups were used to facilitate disscusions around these questions as well as full group discussions allowing key points to be discussed by the wider group.

The day proved useful in many ways by combining a range of people with varying thoughts and interests with regard to the visualisation of data. By the end of the day future meetings and collaborations were being discsused along with ideas on how to continue such meetings/workshops in the future.

 

Author: Craig

Currently a researcher working on the ITRC-MISTRAL project for the first national scale system-of-systems analysis framework, where my work focus on the database and visualisation aspects of this work. Completed a PhD in infrastructure robustness to cascading and spatial failures.

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