论文标题

我学会扩散或数据炼金术101:助记符宣言

I Learn to Diffuse, or Data Alchemy 101: a Mnemonic Manifesto

论文作者

Schetinger, Victor, Filipov, Velitchko, Pérez-Messina, Ignacio, Smith, Ethan, de Oliveira, Rodrigo Oliveira

论文摘要

在这份宣言中,我们提出了数据炼金术作为一种叙事手段的想法,以讨论可视化中的讲故事和跨学科性。如果数据是现代科学的原始物质,那么如何执行出色的工作?我们使用基于文本图像扩散的生成艺术来发展概念,并在十个命题中构造我们的论点,就好像它们是关于数据炼金术的漫画小说的十篇:AD Disco扩散性。为了遵循这一论点,读者必须将自己沉浸在我们的米罗董事会中,并在真正的炼金术意义上浏览包括漫画,视频,代码演示和细微文学的多媒体符号拓扑。通过访问此范式,人们可能会在熟悉的地方找到科学询问的新灵感来源,或者在对未知的创造性探索中迷失方向。我们丰富多彩的,有时诗意的论述不应分散读者的注意力,但最终与旅程有关。

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.

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