Symposium on Cognitive Systems and Discovery Informatics

认知系统与发现信息学研讨会

• 批准号: 1342104
• 负责人: Pat Langley
• 金额: $ 1.3万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-06-15 至 2014-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1342104&HistoricalAwards=false
• 关键词: Symposium; Cognitive; Systems; Discovery; Informatics

The project provides support for Symposium on Discovery Informatics and Cognitive Systems. Discovery informatics aims to develop computational systems that support the scientific enterprise. Cognitive systems aims to develop computational artifacts that exhibit the broad range of intelligent behavior found in humans. The symposium brings together researchers who approach discovery informatics from a variety of perspectives but who share an interest in system-level approaches and the role of high level cognition in science. It focuses on a specific set of challenges at the intersection of cognitive systems and discovery informatics. The participants' interactions should lead to new insights and new collaborations in this emerging area.The new field of discovery informatics has the potential to not only accelerate but also advance the frontiers of the scientific enterprise by automating processes that researchers currently carry out manually. This symposim aims to clarify these processes and share insights with the broader community. The symposium fills a critical need in terms of building a vibrant community of interdisciplinary researchers in discovery informatics. It contributes to education and training of graduate students, and broadening participation of underrepresented groups in STEM areas that are critical to multiple NSF initiatives e.g., Big Data Science and Engineering, Computation and Data Enabled Science and Engineering, among others.

该项目为发现信息学和认知系统研讨会提供支持。发现信息学旨在开发支持科学事业的计算系统。认知系统的目标是开发计算工件，展示人类中发现的广泛的智能行为。研讨会汇集了从各种角度研究发现信息学的研究人员，但他们对系统级方法和高层次认知在科学中的作用感兴趣。它专注于认知系统和发现信息学交叉点的一组特定挑战。参与者的互动将在这一新兴领域带来新的见解和新的合作。发现信息学的新领域不仅有可能加速科学事业的前沿，而且还可以通过自动化研究人员目前手动执行的过程来推进科学事业的前沿。本次研讨会旨在澄清这些过程，并与更广泛的社区分享见解。研讨会填补了在发现信息学中建立一个充满活力的跨学科研究人员社区的迫切需要。它有助于研究生的教育和培训，并扩大代表性不足的群体在STEM领域的参与，这对多个NSF倡议至关重要，例如，大数据科学与工程，计算和数据使能科学与工程等。