Research Driven Art

dc.contributor.authorSinders, Caroline
dc.date.accessioned2019-03-19T14:12:42Z
dc.date.available2019-03-19T14:12:42Z
dc.date.issued2019-02-25
dc.description.abstractCaroline Sinders is an artist and researcher exploring how new kinds of data sets, be it emotional data, traumatic data, or political data can then affect algorithms. How can these outputs be actualized as an art piece? Can the creation of a data set help create equity in digital spaces? Her work explores the intersections of critical design, data, and AI as art. This talk will explore the methodology she's created to guide both her art and research practice, called 'research driven art.' Inspired by photojournalism, critical design, and open source software, research driven art is a process driven artistic methodology, focusing on question answering and question exploring, and how a research process can be an artistic practice as well as an artistic output.en
dc.identifier.urihttps://hdl.handle.net/2022/22834
dc.language.isoenen
dc.relation.urihttps://media.dlib.indiana.edu/media_objects/qz20sx63p
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectFeministen
dc.subjectData Setsen
dc.subjectAlgorithmen
dc.subjectArten
dc.titleResearch Driven Arten
dc.typeVideoen
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