Incidental Data

Sweetapple, K

Incidental Data

Sweetapple, K

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Field	Value	Language
dc.contributor.author	Sweetapple, K https://orcid.org/0000-0002-6214-3125	en_US
dc.date	2011-08-02	en_US
dc.identifier.citation	UTS Gallery	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31853
dc.format	vIsual communication: information visualisation	en_US
dc.relation.ispartof	UTS Gallery	en_US
dc.title	Incidental Data	en_US
utslib.location.activity	Sydney, Australia	en_US
utslib.for	120307 Visual Communication Design (incl. Graphic Design)	en_US
dc.location.activity	Sydney, Australia
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Design
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.start-date	2011-08-02	en_US
pubs.rights-statement	This exhibition is located in the field of visual communication design with a specific focus on information visualisation. The availability of digitised data and access to visualisation tools has led to the proliferation of information visualisation. Yet, as UCLA Professor of Information Studies, Johanna Drucker (2012) argues, not all data is well served by the existing tools of visualisation borrowed from the sciences, which are embedded with “fundamental epistemological values” not appropriate to all humanistic inquiry. The curatorial premise of this exhibition is to challenge the conventions of data representation dominated by scientific posivitism. The exhibited work, by six leading international and local designers-artists (Stacey Green, Tim Knowles, Daniel Eatock, Christopher Baker, Sam Winston and Chris Gaul), is devoid of the graphs, charts, diagrams, and maps typically associated with this field. Instead, data is rendered through analogue visual practices that reveal insights not afforded by algorithm-driven digital representations, calling “into question the claims of transparency, certainty, and objectivity embedded in the Cartesian language of the genre” (Hall 2011). By locating the work of these artists as information visualisation, Incidental Data offers a critique and reimagining of existing data representation practices. This curated exhibition therefore contributes to the field of information design by offering alternate modes of representing information. It is a contribution to the growing argument about the limitations of current conventions of graphical expression and the necessity for design practitioners to engage in the area of visual knowledge production (Burdick et al. 2012, Drucker 2014, Hall 2011, Jessop 2008).	en_US

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