Automated responses to the coronavirus disease-19 pandemic: An overview

Author:

Andrejevic Mark1ORCID,O’Neill Chris1

Affiliation:

1. Monash University, Australia

Abstract

The pandemic response was a thoroughly mediated phenomenon – one that paired digital information technologies with automated logistical systems to address inter-related crises of circulation. In the logistical sphere, automated media were used to manage flows of people, commodities and even (in the case of ‘smart’ ventilation systems) air itself. In the media realm, automated systems played a role in circulating timely notifications and alerts and in detecting and responding to false information. This theme issue brings together an interdisciplinary group of researchers focused on the analysis of automated control and response systems, including the networked devices and infrastructures that supported them, and the digital forms of data collection and processing they enabled. This introductory essay focuses on some organizing themes that emerge from the theme issue contributions, including the relationship between automation and the temporality of viral contagion, logics of pre-emptive intervention and forms of atmospheric and environmental control.

Funder

Australian Research Council

Publisher

SAGE Publications

Reference50 articles.

1. Algorithm Watch (2021) In Spain, an AI-based air ventilation system to reduce COVID-19 infections. Available at: https://algorithmwatch.org/en/tracers/in-spain-an-ai-based-air-ventilation-system-to-reduce-covid-19-infections/ (accessed 7 April 2023).

2. Extraordinary issue: Coronavirus, crisis and communication

3. Communication and the Control Revolution

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3