Keynote speaker: Changing the world with visual analytics

D. Ebert
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引用次数: 1

Abstract

To solve the world's challenges requires not only advancing computer science and big data analytics but requires new analysis and decision-making environments that effectively couple human decision making with advanced, guided analytics in a human-computer collaborative discourse and decision making (HCCD). While many researchers and companies are focusing solely on Big Data Analytics to harness the potential power in available massive, multisource, multivariate, evolving digital data, many of these big data solutions don't effectively factor the human decision maker into their proposed solution. The HCCD approach builds upon visual analytics and focuses on empowering the decision maker through interactive visual analytic environments where visual cognition, guided discovery, and non-digital human expertise and experience can be combined with state-of-the-art analytical techniques. When we combine this approach with real-world application-driven research, not only does the pace of scientific innovation accelerate, but impactful change occurs. This work and these systems can be applied to social change, advancing engineering, and science and solving some of the world's greatest challenges such as sustainability and security. In this talk, I'll outline this approach and highlight the potential and impact of application driven HCCD research.
主讲人:用视觉分析改变世界
要解决世界的挑战,不仅需要推进计算机科学和大数据分析,还需要新的分析和决策环境,在人机协作话语和决策(HCCD)中,将人类决策与先进的、有指导的分析有效结合起来。尽管许多研究人员和公司只专注于大数据分析,以利用可用的海量、多源、多变量、不断发展的数字数据的潜在力量,但许多大数据解决方案并没有有效地将人类决策者纳入其拟议的解决方案中。HCCD方法建立在视觉分析的基础上,侧重于通过交互式视觉分析环境赋予决策者权力,在这种环境中,视觉认知、引导发现、非数字人类专业知识和经验可以与最先进的分析技术相结合。当我们将这种方法与现实世界中应用驱动的研究相结合时,不仅科学创新的步伐加快,而且会发生有影响力的变化。这项工作和这些系统可以应用于社会变革,推进工程和科学,并解决世界上一些最大的挑战,如可持续性和安全性。在本次演讲中,我将概述这种方法,并强调应用程序驱动的HCCD研究的潜力和影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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