This is a recurring event: View all events in the series “Data Bites”
Data visualisations play various key roles in the increasingly data-intensive practices in science, industry, governance and public communication and discourse.
These roles have become even more prominent within the epidemiology and public health research, and the public debate around these during the ongoing pandemic.
In this talk, I will share our recent research results on developing interactive data visualisations to facilitate an engaged epidemiological model building process to inform public health policy-making, as well as empirical research that study the extent that visualisations support the understanding of complex models of disease dynamics, and a visualisation-based workshop to teach school kids about how to use data and simulations to understand disease spread.
Through these examples, the talk will aim to highlight visualisation both as a human-centred data analysis methodology in an increasingly automated landscape, and as a lens to study interactions between people and data.
About the Speaker:
Cagatay Turkay is a Professor at the Centre for Interdisciplinary Methodologies at the University of Warwick, UK and a Turing Fellow at the Alan Turing Institute, London, UK.
His research investigates the interactions between data, algorithms and people, and explores the role of interactive visualisation and other interaction mediums such as natural language at this intersection.
He designs techniques and algorithms that are sensitive to their users in various decision-making scenarios involving primarily high-dimensional and spatio-temporal phenomena, and develops methods to study how people work interactively with data and computed artefacts.
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