Concept

Information art

Information art, which is also known as informatism or data art, is an emerging art form that is inspired by and principally incorporates data, computer science, information technology, artificial intelligence, and related data-driven fields. The information revolution has resulted in over-abundant data that are critical in a wide range of areas, from the Internet to healthcare systems. Related to conceptual art, electronic art and new media art, informatism considers this new technological, economical, and cultural paradigm shift, such that artworks may provide social commentaries, synthesize multiple disciplines, and develop new aesthetics. Realization of information art often take, although not necessarily, interdisciplinary and multidisciplinary approaches incorporating visual, audio, data analysis, performance, and others. Furthermore, physical and virtual installations involving informatism often provide human-computer interaction that generate artistic contents based on the processing of large amounts of data. Information art has a long history as visualization of qualitative and quantitative data forms a foundation in science, technology, and governance. Information design and informational graphics, which has existed before computing and the Internet, are closely connected with this new emergent art movement. An early example of informatism the 1970 exhibition organized called "Information" at the Museum of Modern Art in New York City (curated by Kynaston McShine). This is the time when conceptual art has emerged as a leading tendency in the United States and internationally. At the same time arose the activities of Experiments in Art and Technology known as E.A.T. Information art are manifested using a variety of data sources such as photographs, census data, video clips, search engine results, digital painting, network signals, and others. Often, such data are transformed, analyzed, and interpreted in order to convey concepts and develop aesthetics.

À propos de ce résultat
Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.