Friday May 8th, 11:00 to 16:30
School of Computer Science, University of St Andrews
John Honey Building, North Haugh (KY16 9SX)
Open to the SICSA community, the University of St Andrews community
No charge, but limited places.
Please sign up here at Eventbrite
Workshop Focus and Motivation
We are moving into a new era of a data driven society. The collection and use of data abounds in science, industry, government, commerce, and also in our personal lives both at work and socially. Data is being continually collected, and being stored in increasingly massive data warehouses in the expectation of later analysis and use. The common belief is that through this data, we, as a society, can gain new insights and learn how to run our lives, businesses, cities, etc. more efficiently, and effectively. Yet society is increasingly, if only vaguely aware of the volume and variety of data that we are accruing on a daily basis. However, there is a gap, how can data lead to new insight?
To realise even the beginning of the promised potential of this data, we must become data literate. To be an effective data driven society this notion of data literacy must extend beyond the data literacy of a few experts to a wider population. We must each become, at least somewhat, data literate.
To test the waters of what might possibly constitute data literacy exercises, we will hold a workshop based on sketch based visualisation and constructive visualisation on May 8th 2015.
This will be a hands-on workshop where we will conduct exercises on data characterisation, visualisation data sketching, and constructive visualisation. There will be several short talks on basic data visualisation concepts, discussions, sketching sessions and constructive visualisation sessions.
In this workshop you employ the basic visual variables to construct meaningful representations, the dynamic manipulation of spatial positioning to enable spatial reasoning, and through these practices you will become aware of the wide variety of ways that people can think about data.
This workshop is designed for professionals, academics, and anyone with an interest in visualisation and data science. No programming experience required.
Sheelagh Carpendale is a SICSA Distinguished Visiting Fellow to Scotland this May. A Professor in the Department of Computer Science at the University of Calgary where she holds a Canada Research Chair in Information Visualisation and NSERC/AITF/SMART Technologies Industrial Research Chair in Interactive Technologies. She has received many awards including the E.W.R. NSERC STEACIE Memorial Fellowship; a BAFTA (British Academy of Film & Television Arts Interactive Awards); an ASTech Innovations in Technology Award; and the CHCCS Achievement Award. She leads the Innovations in Visualization (InnoVis) research group and initiated interdisciplinary graduate programs in Computational Media Design. Her research on information visualisation, large interactive displays, and new media draws on her background in Computer Science, Art and Design (Simon Fraser University, Emily Carr, Institute of Art and Design, Sheridan College, School of Design). She has found the combined visual arts and computing science background invaluable in her information visualisation research.)
Samuel Huron is Lead Designer at the Institute for Research and Innovation of the Pompidou Center (Paris) and Post doctorate researcher at the University of Calgary in the Innovis Lab. He successfully defended his Ph.D. on “Constructive Visualization: A token-based paradigm allowing to assemble dynamic visual representation for non-experts” at the Pompidou Center (Paris, France) in September 2014, under the supervision of Jean-Daniel Fekete, Vincent Puig and Sheelagh Carpendale. He graduated first candidate in 2009, Master in New Media Art in Paris 1 Panthéon-Sorbonne. He participated in several design research groups at Ecole National Supérieur des Arts décoratifs. For over ten years he has carried out multiple creative web projects for a broad range of civic, cultural and corporate clients. His interest focuses particularly on computer human interaction and visual languages.