Who and What Connects the Dots? Emma Kunz's Method as Infographics and the Politics of Probability.
Similarly to Emma Kunz, he entered into a I relation i to external forces by recording different I time steps i on a canvas, a process of monitoring that justifies Kunz's drawings' affinity to probabilistic data visualisations.[25] If probability, in broad terms, is the study of the chances of an ev...
| Publicado en: | Parallax Vol. 28; no. 4; pp. 426 - 442 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
Oct-Dec2022
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=171898925&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 171898925 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13534645 BBZ jtl: Parallax issn: 13534645 maglogo: N pubinfo: dt: Oct-Dec2022 vid: 28 iid: 4 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 171898925 10.1080/13534645.2023.2206241 ppf: 426 ppct: 16 formats: tig: atl: Who and What Connects the Dots? Emma Kunz's Method as Infographics and the Politics of Probability. aug: au: Cavallo, Francesca Laura su: Conflict of interests Human facial recognition software Artificial intelligence Probability theory Information design Aesthetics Priests Patterns (Mathematics) sug: subj: Conflict of interests Human facial recognition software Artificial intelligence Probability theory Information design Aesthetics Priests Patterns (Mathematics) ab: Similarly to Emma Kunz, he entered into a I relation i to external forces by recording different I time steps i on a canvas, a process of monitoring that justifies Kunz's drawings' affinity to probabilistic data visualisations.[25] If probability, in broad terms, is the study of the chances of an event occurring or reoccurring, then Kunz's and Duchamp's experiments are I games of probability i as much as "chance procedures". Kunz's I diagnostic images i were, in a sense, data visualisations of random phenomena performing oracular duties: schematic and numerical patterns obtained through data collection and organisations to answer questions and produce evidence to inform decisions about the future. Kunz's oracular techniques are here explained in the contexts of radiesthesia and stochastic methods (from Greek I i : "aim, guess"), as well as data visualisations where probability distributions are used to model I random i processes in fields as diverse as social sciences, information technology, media, and the market. Marcel Duchamp and John Cage, among many other of Kunz's contemporaries, adopted computational methods of data to play with chance, probability and determinism. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
|---|