<div class="csl-bib-body">
<div class="csl-entry">Schetinger, V., Filipov, V., Perez Messina, I. B., Ethan Smith, & Oliveira de Oliveira, R. (2022, October 16). <i>I Learn to Diffuse, or Data Alchemy 101: a Mnemonic Manifesto</i> [Conference Presentation]. IEE VIS, Oklahoma City, United States of America (the). https://doi.org/10.48550/ARXIV.2208.03998</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/153741
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dc.description.abstract
In this manifesto, we put forward the idea of data alchemy as a narrative device to discuss storytelling and transdisciplinarity in visualization. If data is the prima materia of modern science, how does one perform the Great Work? We use text-to-image diffusion-based generative art to develop the concept, and structure our argument in ten propositions, as if they were ten issues of a comic novel on data alchemy: Ad Disco Diffusionem. To follow the argument, the reader must immerse themselves in our miro board, and navigate a multimedia semiotic topology that includes comics, videos, code demos, and ergotic literature in a true alchemic sense. By accessing this paradigm one might find new sources of inspiration for scientific inquiry in familiar places, or get lost in the creative exploration of the unknown. Our colorful, sometimes poetic, exposition should not distract the reader from the seriousness of the ideas discussed, but ultimately it is about the journey.
en
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.subject
Data Alchemy
en
dc.subject
Information Visualization
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dc.subject
Generative Models
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dc.subject
Transdisciplinarity
en
dc.subject
Storytelling
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dc.title
I Learn to Diffuse, or Data Alchemy 101: a Mnemonic Manifesto
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.contributor.affiliation
University of Florida
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dc.contributor.affiliation
Unochapecó
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dc.relation.grantno
P35767-N
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dc.type.category
Conference Presentation
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tuw.project.title
ArtVis: Dynamische Netzwerk für die digitale Kunstgeschichte
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193 - Institut für Visual Computing and Human-Centered Technology
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tuw.publisher.doi
10.48550/ARXIV.2208.03998
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tuw.author.orcid
0000-0001-9592-2179
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tuw.event.name
IEE VIS
en
tuw.event.startdate
16-10-2022
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tuw.event.enddate
21-10-2022
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Oklahoma City
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tuw.event.country
US
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tuw.event.institution
IEEE
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tuw.event.presenter
Schetinger, Victor
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tuw.presentation.online
Online
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
90
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wb.sciencebranch.value
10
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_18cp
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item.languageiso639-1
en
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item.openairetype
conference paper not in proceedings
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item.grantfulltext
none
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.dept
University of Florida
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crisitem.author.dept
Unochapecó
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crisitem.author.orcid
0000-0001-9592-2179
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crisitem.author.orcid
0009-0006-4440-9977
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology