In an image-saturated society, methods for visual analysis gain urgency. This special issue explores visual ways to study online images, focusing on their collection and circulation. The proposition we make is to stay as close to the material as possible. How to approach the visual with the visual? What type of images may one design to make sense of, reshape, and reanimate online image collections? How may arrangements of online images promote various analytical procedures, participatory actions, and design interventions? Furthermore, we focus on the role that algorithmic tools, including machine vision, can play in such research efforts while being sensitive to their flaws and shortcomings. Which kinds of collaborations between humans and machines can we envision to better grasp and critically interrogate the dynamics of today’s digital visual culture? The different practices and formats discussed in this special issue (including data feminism, visual scores, machine vision, image networks, field guides) offer a range of approaches that seek to understand, reanimate, and change perspectives on our digital visual culture.

Diseña 19 | Visual Methods for Online Images: Collection, Circulation, and Machine Co-Creation

Gabriele Colombo;
2021-01-01

Abstract

In an image-saturated society, methods for visual analysis gain urgency. This special issue explores visual ways to study online images, focusing on their collection and circulation. The proposition we make is to stay as close to the material as possible. How to approach the visual with the visual? What type of images may one design to make sense of, reshape, and reanimate online image collections? How may arrangements of online images promote various analytical procedures, participatory actions, and design interventions? Furthermore, we focus on the role that algorithmic tools, including machine vision, can play in such research efforts while being sensitive to their flaws and shortcomings. Which kinds of collaborations between humans and machines can we envision to better grasp and critically interrogate the dynamics of today’s digital visual culture? The different practices and formats discussed in this special issue (including data feminism, visual scores, machine vision, image networks, field guides) offer a range of approaches that seek to understand, reanimate, and change perspectives on our digital visual culture.
2021
En una sociedad saturada de imágenes, los métodos de análisis visual adquieren mayor urgencia. Este número especial explora las formas visuales de estudiar las imágenes en línea, centrándose en su recolección y circulación. La propuesta que hacemos es permanecer lo más cerca posible del material. ¿Cómo acercarse a lo visual con lo visual? ¿Qué tipo de imágenes se pueden diseñar para dar sentido, reconfigurar y reanimar las colecciones de imágenes en línea? ¿Cómo pueden las disposiciones de las imágenes en línea promover diversos procedimientos analíticos, acciones participativas e intervenciones de diseño? Además, nos centramos en el papel que pueden desempeñar las herramientas algorítmicas, incluida la visión artificial, en estos esfuerzos de investigación, sin dejar de ser sensibles a sus defectos y carencias. ¿Qué tipos de colaboración entre humanos y máquinas podemos prever para comprender mejor e interrogar críticamente la dinámica de la cultura visual digital actual? Las diferentes prácticas y formatos que se analizan en este número especial (como el feminismo de datos, las partituras visuales, la visión artificial, las redes de imágenes y las guías de campo) ofrecen una serie de enfoques que buscan comprender, reanimar y cambiar las perspectivas de nuestra cultura visual digital.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1191478
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