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[Commlist] CFP: Reimagining Data Visualisations: Critical Questions, Expanded Practices | London Conference in Critical Thought 2023
Wed Feb 01 23:36:43 GMT 2023
*LONDON CONFERENCE IN CRITICAL THOUGHT 2023*
*June 30^th ****and July 1^st , 2023*
*Call for Presentations – deadline March 13th, 2022*
The Call for Presentations is now open for the 10^th annual/London
Conference in Critical Thought/(LCCT), hosted and supported by the
School of Social Sciences and Professions at London Metropolitan
University. This will be an*IN-PERSON*conference, occurring at the
Holloway Road (North) campus of London Metropolitan University. The full
call is available here:LCCT 2023 Call for Presentations
<http://londoncritical.org/wp-content/uploads/2023/01/LCCT-2023-Call-for-Presentations-1.pdf>
Proposals are invited for the conference stream REIMAGINING DATA
VISUALISATION: CRITICAL QUESTIONS< EXPANDED PRACTICES:
Data visualisations are used in a wide range of disciplines, including
digital humanities, visual communications, urbanism, environmental
science and many more. This stream invites proposals that engage
critically with visualisation practices, exploring their
epistemological, social and ecological effects, exposing the assumptions
inherent within them, and imagining alternative aesthetic and ethical
approaches.
Data-driven computational processes constitute a substrate of human
experience in the 21stcentury – we interact continually with digital
devices, applications and networks, such that they become embodied
aspects of our everyday lives, enmeshed in social, economic and cultural
practices. This tendency towards datafication impacts scholarly
research, having implications for what counts as knowledge, and how this
knowledge is produced (see: Beer 2022; Esposito 2022). In this techno-
cultural context, data visualisations have become an essential means of
communicating complex information to broad audiences. Yet, visualisation
practices are neither neutral nor transparent. Johanna Drucker (2020)
posits that the translation of data into graphical forms acts
constructively to interpret the information and construct an argument.
Moreover, these processes of visual interpretation are imbued with a
range of cultural biases which require further scrutiny, because they
contain codes and hierarchies inherited from the history of visual
culture – for example, presuppositions about what constitutes a
‘scientific image’ based on Western notions of objectivity. This raises
questions of how visualisation practices might be decolonised and
degendered to democratise knowledge production and communication (see:
Ignazio and Klein, 2020).
This stream aims to articulate these questions by critically examining
existing visualisation practices, and offer responses by testing
alternative approaches that acknowledge the embodied and situated
character of knowledge. It welcomes presentations of experimental,
creative and speculative practice- research.
Possible questions to explore include:
* What forms of knowledge do data visualisations produce / how do they
act to define the object of knowledge?
* Can we reframe what ‘counts’ as data and how data are counted?
* What is occluded in the process of selecting data and presenting it
in visual forms?
* What role do visualisations play in data colonialism?
* What power structures are implicit in visualisation practices / what
empowerment can be achieved by approaching them differently?
* What would a feminist data visualisation look like?
* How can indigenous knowledge inform a more inclusive and/or
ecological approach to information visualisation?
* What forms of mapping can render the labour that produces datasets
visible?
* Can participatory design approaches help to decolonise data
visualisation, making it more transparent and accountable?
* What creative media methods could be used to develop an expanded and
multi-sensory visualisation practice?
Please send an abstract for a proposed presentation
to*(londoncritical /at/ gmail.com)* <mailto:(londoncritical /at/ gmail.com)>with the
stream title ‘Reimagining Data Visualisations: Critical Questions,
Expanded Practices’ indicated in the subject line. Abstracts should
be*no more than 250 words*and must be received by*Monday March 13^th
****2023*.
If you would like to discuss your proposal prior to submission, please
contact the stream organiser: (Hannah.Lammin /at/ gre.ac.uk)
<mailto:(Hannah.Lammin /at/ gre.ac.uk)>
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